@article{ author = {Safdarian, Naser and JafarniaDabanloo, Nader}, title = {Diagnosis of COVID-19 Disease Using Lung CT-scan Image Processing Techniques}, abstract ={Introduction: Today, several methods are used for detecting COVID-19 such as disease-related clinical symptoms, and more accurate diagnostic methods like lung CT-scan imaging. This study aimed to achieve an accurate diagnostic method for intelligent and automatic diagnosis of COVID-19 using lung CT-scan image processing techniques and utilize the results of this method as an accurate diagnostic tool complementing the CT-scan devices. Method: Based on digital image processing algorithms such as segmentation and feature extraction and using various methods of statistical analysis on the features extracted from images, CT-scan images of 79 male and female patients in different ages were analyzed and the effects of this disease on the infected lungs of patients were evaluated. This research was conducted in the spring of 2020 in the Faculty of Medical Sciences and Technologies, Science and Research Branch in Tehran. Results: This intelligent method based on feature extraction from lung CT-scan images can diagnose COVID-19 with high accuracy on different categories (gender, type of injury caused by the disease). The analysis of lung tissue involvement in patients with COVID-19 revealed that most patients had tissue damage in the lower parts of both lungs to a greater extent than the middle and upper lung lobes. Conclusion: The algorithm presented in this study can accurately detect and differentiate the data of images taken from the lungs of healthy people and patients with coronavirus disease.}, Keywords = {COVID-19, Viral Disease, Lung Injury, Data Analysis, Image Processing Technique}, volume = {8}, Number = {1}, pages = {1-11}, publisher = {دانشگاه علوم پزشکی کرمان}, url = {http://jhbmi.ir/article-1-529-en.html}, eprint = {http://jhbmi.ir/article-1-529-en.pdf}, journal = {Journal of Health and Biomedical Informatics}, issn = {2423-3870}, eissn = {2423-3498}, year = {2021} } @article{ author = {Dehghandar, Mohammad and HassaniBafrani, Atefeh and Dadkhah, Mahmood and Qorbani, Mostafa and Kelishadi, Roy}, title = {Diagnosis of Obesity and Hypertension in Isfahani Students Using Artificial Neural Network}, abstract ={Introduction: Obesity and hypertension are community health problems. The objective of this study was to diagnose obesity and hypertension in Isfahani students by artificial neural network. Method: The present study was a diagnostic and predictive one that used the information of 460 students aged 7-18 years old in Isfahan to design a neural network with 11 input variables (age, sex, weight, height, waist circumference, body mass index, waist to height ratio, abdominal obesity, physical activity, genetics, and unhealthy eating behaviors) and three output variables of obesity, systolic blood pressure, and diastolic blood pressure. Conjugate Gradient and Levenberg-Marquardt algorithms were used for network training. Results: Selected neural network with the Levenberg algorithm has 16 hidden neurons in the diagnosis of obesity and high diastolic blood pressure and 14 hidden neurons in the diagnosis of high systolic blood pressure. The sensitivity, specificity, and accuracy of the network in the diagnosis of obesity were 0.9591, 0.9975, and 0.9934, respectively, and these values were 0.8461, 0.9949, and 0.9739 for high systolic blood pressure and 0.7952, 0.9973, and 0.9609 for high diastolic blood pressure. It was observed that the designed network detects obesity in children and adolescents with a high accuracy of 95% and diagnoses systolic and diastolic blood pressures with a high accuracy of 84% and 79%, respectively. Conclusion: According to the results, about 83% of obese adolescents have hypertension. Therefore, there it is necessary to design educational programs in the field of behavioral changes, including physical activity along with interventions in nutrition planning for students.}, Keywords = {Artificial Neural Network, Obesity, Systolic Blood Pressure, Diastolic Blood Pressure}, volume = {8}, Number = {1}, pages = {12-23}, publisher = {دانشگاه علوم پزشکی کرمان}, url = {http://jhbmi.ir/article-1-530-en.html}, eprint = {http://jhbmi.ir/article-1-530-en.pdf}, journal = {Journal of Health and Biomedical Informatics}, issn = {2423-3870}, eissn = {2423-3498}, year = {2021} } @article{ author = {Bayazian, Gholamreza and Langarizadeh, Mostafa and Salehi, Mahs}, title = {Designing and Developing a Self-Care Application for Post-Laryngectomy Surgery}, abstract ={Introduction: Laryngectomy is the only known treatment for laryngeal cancer. The objective of this study was to design and develop a self-care application for patients undergoing laryngeal resection surgery. Method: This study was an applied-developmental one conducted in two stages. The first stage included assessing the need for data elements using questionnaire by 14 ear, nose, and throat (ENT) specialists. Then, the application prototype was developed in Java. In the second stage, the usability of the application was evaluated using standard questionnaire of usability evaluation. Results: The results of the first stage included two main parts of clinical information and application capabilities. The clinical information consisted of 14 main groups and 35 subgroups with a mean score of 9.9. The application capability also included alarm, reminder, messaging, social networks, clinic reservation, and Internet connection. According to the participants, all information items of the questionnaire were declared as necessary. The usability of the application was also evaluated at a good level with an overall average of 7.6. Conclusion: Using a self-care application for post-laryngectomy patients will help increase their knowledge and facilitate self-care. Thus, it could be expected that using self-care technology and applications would reduce patients’ visits to health care centers as well as the number of their educational and care questions asked from health care staff. However, it is suggested that further studies be conducted with larger population and in different provinces.  }, Keywords = {Laryngectomy, Self-Care, Self-Managements}, volume = {8}, Number = {1}, pages = {24-32}, publisher = {دانشگاه علوم پزشکی کرمان}, url = {http://jhbmi.ir/article-1-551-en.html}, eprint = {http://jhbmi.ir/article-1-551-en.pdf}, journal = {Journal of Health and Biomedical Informatics}, issn = {2423-3870}, eissn = {2423-3498}, year = {2021} } @article{ author = {moulaei, khadijeh and Bavafa, Babak}, title = {Design and Development of a Minimum Data Set for Phenylketonuria Disease}, abstract ={Introduction: Phenylketonuria is one of the most common autosomal recessive metabolic diseases, characterized by a wide range of neuropsychological and neurocognitive disorders. Without proper care, control, and management, this disease can lead to severe mental retardation and neurobehavioral disorders. Therefore, the objective of this study was to design and develop a Minimum Data Set (MDS) for phenylketonuria disease to introduce indicators effective in further management, control, and monitoring of this disease. Method: The present study was a descriptive-analytical one that was conducted in two stages. In the first stage, a comprehensive review of PubMed, Web of Science, and Scopus databases was performed to identify management and clinical data elements. Then, the necessary data elements were extracted from the studies and put into a questionnaire. In the second stage, 15 pediatricians, nutritionists, psychiatrists, and psychologists completed the designed questionnaire using the two-stage Delphi technique. The descriptive statistics as well as SPSS 23 were used to analyze the data. Results: A total of 133 management and clinical data elements were extracted from the studies. These data elements were divided into three groups of information and 14 categories. According to experts, consensus and collective agreement were reached on 125 data elements in 13 categories. The category of congenital defects was the only category all data elements of which were excluded in the study. Conclusion: Given the clinical and economic challenges that phenylketonuria patients face, determining the minimum data set can enable effective control and management of this disease, reduce costs, and improve management of information relevant to these patients.}, Keywords = {Minimum data set, Effective Indicators, Management, Control, Phenylketonuria}, volume = {8}, Number = {1}, pages = {33-41}, publisher = {دانشگاه علوم پزشکی کرمان}, url = {http://jhbmi.ir/article-1-566-en.html}, eprint = {http://jhbmi.ir/article-1-566-en.pdf}, journal = {Journal of Health and Biomedical Informatics}, issn = {2423-3870}, eissn = {2423-3498}, year = {2021} } @article{ author = {Azadi, Mahsa and Rahman, Arash and ShahMohamadi, Fereshte}, title = {Modeling and simulation of ovarian cancer and tumor growth and spread in different stages of ovarian cancer according to the TNM system}, abstract ={Introduction: Ovarian cancer is caused by malignant changes in the cells of the ovary. In various studies, cancer has been regarded as a biological system that has a set of characteristics; therefore, presenting a model of this system can considerably help to study and predict the phenomena related to the growth and spread of cancer. This study attempted to model and simulate the growth and spread of tumor in different stages of ovarian cancer and investigate the process of metastasis of ovarian cancer to other tissues and organs. Method: In this research, modeling and simulation as well as library studies were used. First, it was attempted to design and model the anatomy of the ovary, fallopian tubes, uterus, lymph nodes of the ovaries, liver, and spleen. Then, different stages of ovarian cancer were modeled and simulated according to TNM system. NetLogo software was used for modeling and simulation. Results: This study developed a model to simulate, visualize, and predict tumor growth and spread in different stages of ovarian cancer according to the TNM system as well as the ovarian cancer metastasis process. Conclusion: By providing the possibility of further study and testing, development and utilization of models of ovarian cancer in its different stages can lead to better prediction of tumor growth sequence and behavior and selection of a better treatment option  }, Keywords = {Ovarian Cancer, TNM System, Ovarian Cancer Modeling, Ovarian Cancer Simulation}, volume = {8}, Number = {1}, pages = {42-54}, publisher = {دانشگاه علوم پزشکی کرمان}, url = {http://jhbmi.ir/article-1-556-en.html}, eprint = {http://jhbmi.ir/article-1-556-en.pdf}, journal = {Journal of Health and Biomedical Informatics}, issn = {2423-3870}, eissn = {2423-3498}, year = {2021} } @article{ author = {Karimi, Hossein and Jamshidi, Mohammad Javad and Hosseinpour, Mahdi}, title = {An Analysis of the Challenges of Green Information Technology Implementation in Hospitals and Treatment Centers}, abstract ={Introduction: Today, the use of green information technology has positive effects on the health system, especially in controlling energy waste, reducing paperwork, lowering the use of technology and medical devices, and enhancing environmental and economic performance. This study aimed to investigate the challenges of implementing green information technology in hospitals and treatment centers. Method: This study was an applied research carried out in two phases: first, by reviewing the theoretical foundations and previous studies through the method of reviewing texts, the challenges of establishing green information technology in hospitals and medical centers were identified; then, to confirm and prioritize the identified challenges, these challenges were provided to 21 academic experts and IT officials working in hospitals. Results: On the path of implementing green information technology, hospitals and treatment centers faced challenges related to Human Resource Management System (2 components and 10 indicators), Institutional Pressures (4 components and 9 indicators), Administrative System (3 components and 16 indicators), Financial System (4 components and 4 indicators), Legal System (2 components and 3 indicators), and Organizational Infrastructure (2 components and 2 indicators). Conclusion: The implementation of green information technology in hospitals and treatment centers has a unique potential in reducing energy, promoting the recyclability of obsolete equipment and hospital waste, creating environmentally friendly products, and encouraging people to work remotely.}, Keywords = {Green Information Technology, Challenges, Hospitals, Treatment Centers}, volume = {8}, Number = {1}, pages = {55-66}, publisher = {دانشگاه علوم پزشکی کرمان}, url = {http://jhbmi.ir/article-1-562-en.html}, eprint = {http://jhbmi.ir/article-1-562-en.pdf}, journal = {Journal of Health and Biomedical Informatics}, issn = {2423-3870}, eissn = {2423-3498}, year = {2021} } @article{ author = {Nazanin, Naghashzargar and KarimiMoridani, Mohammad and Mahmoudi, Hamidrez}, title = {Intelligent Diagnosis of Actinic Keratosis and Squamous Cell Carcinoma of the Skin, Using Linear and Nonlinear Features Based on Image Processing Techniques}, abstract ={Introduction: Most skin cancers are treatable in the early stages; thus, an early and rapid diagnosis can be very important to save patients’ lives. Today, with artificial intelligence, early detection of cancer in the initial stages is possible. Method: In this descriptive-analytical study, a computerized diagnostic system based on image processing techniques was presented, which is much more helpful for the patient. In this method, dermoscopic images of actinic keratosis and squamous cell carcinoma were improved by preprocessing techniques and the potential noises were removed. Then, segmentation was performed using the thresholding method to separate the lesion from the underlying skin. Thereafter, from the segmented area, texture, shape, and color information and features were extracted. Finally, the feature reduction method and support vector machine (SVM) were used to evaluate the proposed method qualitatively and quantitatively. Results: The data in this study included 100 samples of actinic keratosis images and 100 samples of squamous cell carcinoma. The results of the present study showed that using the genetic algorithm method together with the support vector machine method could help identify the type of skin cancer with 99.7 ± 0.4% accuracy. Conclusion: The effect of different tissue features in diagnosing the type of lesion showed an increase in the amount and variety of features extracted from the samples would lead to better training and more accurate analysis of the system.}, Keywords = {Skin Cancer, Actinic Keratosis, Squamous Cell Carcinoma, Image Processing, Intelligent Diagnosis}, volume = {8}, Number = {1}, pages = {67-83}, publisher = {دانشگاه علوم پزشکی کرمان}, url = {http://jhbmi.ir/article-1-583-en.html}, eprint = {http://jhbmi.ir/article-1-583-en.pdf}, journal = {Journal of Health and Biomedical Informatics}, issn = {2423-3870}, eissn = {2423-3498}, year = {2021} } @article{ author = {Ayeneh, Masoumeh and Hosseinpour, Mahdi}, title = {Investigating the Influence of Factors Effective in Using Social Media on Improving E-Health Literacy of Citizens in Crisis}, abstract ={Introduction: Due to the prevalence of coronavirus, the role of media, especially social media, to inform about and increase health literacy is very important. The objective of this study was to investigate the influence of factors effective in the use of social media on the level of e-health literacy of citizens in crisis. Method: In this descriptive-analytical study, 384 patients in Kermanshah province were selected using Morgan table. For this purpose, a two-part researcher-made questionnaire was used which included a demographic section and a specific section (using 5 variables) with 40 questions. The items in this questionnaire were scored using a 5-point Likert scale ranging from 1 (strongly disagree) to 5 (strongly agree). Results: The findings revealed that 43.1% of the participants believed Corona had a great impact on their job and more than 40% of the participants also stated they obtained health information through the Internet. The results also showed that the relationship between the variables was significant (P <0.05). Conclusion: The highest correlation was observed between accessibility and popularity variables. This suggests that increasing access to social media will enhance the popularity of these media. The information obtained in this study demonstrated that up-to-dateness of media, accessibility, trust in social media, perceived value, and popularity are among the factors effective in the impact of social media on e-health literacy.  }, Keywords = {Social Media, E-Health Literacy, Corona Crisis, Kermanshah}, volume = {8}, Number = {1}, pages = {84-93}, publisher = {دانشگاه علوم پزشکی کرمان}, url = {http://jhbmi.ir/article-1-545-en.html}, eprint = {http://jhbmi.ir/article-1-545-en.pdf}, journal = {Journal of Health and Biomedical Informatics}, issn = {2423-3870}, eissn = {2423-3498}, year = {2021} } @article{ author = {Parvin, Alireza and Nasri, Mehdi and Eslami, Maji}, title = {Design and Implementation of an Exergame Using Image Processing Techniques for Telerehabilitation of Patients with Physical Disabilities}, abstract ={Introduction: In recent years, due to physical problems of patients or restrictions on social interactions in COVID-19 pandemic, telerehabilitation based on virtual reality (VR) attracted the attention of many researchers.   Method: In this applied research, a Kinect sensor and an image processing software were used to design and implement a motion simulator for rehabilitation of patients with physical problems in upper or lower limb. To do this, the patient was supposed to touch or catch moving objects such as a bee. The movement of objects was based on physician’s decision and while comparing patients’ movements with reference ones in the designed system, the patient was encouraged to correct his/her movements to finally be able to do them in the desired manner. In the designed system, it is possible to monitor the patient’ movements outside the clinical environment and based on telerehabilitation.  Results: The efficiency of the designed system in patients with physical disabilities was investigated based on quantitative analysis (via motion charts) and qualitative analysis (through questionnaire). Conclusion: The results showed the high efficiency of this system in analysis of patients’ movements (through comparing it with reference ones), and the possibility to practically use it in rehabilitation centers especially in recent situation of covid-19 pandemic}, Keywords = {Virtual Reality, Telerehabilitation, Image Processing, Exergame}, volume = {8}, Number = {1}, pages = {94-104}, publisher = {دانشگاه علوم پزشکی کرمان}, url = {http://jhbmi.ir/article-1-567-en.html}, eprint = {http://jhbmi.ir/article-1-567-en.pdf}, journal = {Journal of Health and Biomedical Informatics}, issn = {2423-3870}, eissn = {2423-3498}, year = {2021} } @article{ author = {Akbari, Elham and Taghizadeh, Mohammad and Nemati, Fahimeh}, title = {Comparative Investigation of R213G Mutation in DNA-Binding Domain of P53 Protein via Molecular Dynamics Simulation}, abstract ={Introduction: P53 is a tumor suppressor protein with numerous missense mutations identified in its gene. These mutations are observed in a vast number of cancers. R213G is one of them which has a role in metastatic lung cancers. In this research, R213G was studied in comparison with the wild type via molecular dynamics simulation. Method: For the three-dimensional structure of the wild-type P53 protein, chain A was used from crystallographic structure with PDB ID: 1TSR.  For R213G mutation, residue 213 of this structure was changed to glycine. Molecular dynamics simulation was repeated twice for 15 ns using Gromacs 5.1.2 software package, AMBER99SB force field, and TIP3P as water model. RMSD, RMSF, radius of gyration, and potential energy analyses were performed on resulted trajectories. Results: RMSF analysis showed that the R213G mutation changes the flexibility of 11 residues including R-248. These residues are not near the mutated position, but all of them are located on 220-250 fragment of this domain or are residues in the neighbor of this fragment. The radius of gyration and potential energy results confirmed a reduction in stability of this protein as a result of this mutation. Conclusion: RMSF analysis of R213G mutation beside the changes in stability and radius indicated that this mutation could greatly affect the P53 interactions with other macromolecules.}, Keywords = {Root Mean Square Fluctuation (RMSF), Protein Flexibility, P53 Protein, Missense Mutation, Molecular dynamics simulation}, volume = {8}, Number = {1}, pages = {105-116}, publisher = {دانشگاه علوم پزشکی کرمان}, url = {http://jhbmi.ir/article-1-524-en.html}, eprint = {http://jhbmi.ir/article-1-524-en.pdf}, journal = {Journal of Health and Biomedical Informatics}, issn = {2423-3870}, eissn = {2423-3498}, year = {2021} } @article{ author = {Mohammadzadeh, Niloofar and Saeedi, Soheila and Rezayi, Sorayy}, title = {A Review of the Process of Meaningful Use Program and its Challenges in the Electronic Health Record Roadmap}, abstract ={Introduction: Meaningful use program indicates that health care organizations make meaningful use of an accredited electronic health record system. The objective of this study was to investigate the process of “meaningful use” program and the related challenges for the development of electronic health record. Method: This review study was conducted in 2020. The PubMed, Scopus, Science Direct, and Google scholar databases were searched from 2010 to October 2019 using “Meaningful Use Program” and “Electronic Health Record” as keywords. After applying the inclusion criteria, 20 articles were reviewed. Results: Based on the studies, the measures related to “Meaningful Use” program included 15 main measures, 5 selected sub-measures, and 6 qualitative clinical measures. The program includes three steps: data recording and sharing, advanced clinical processes, and improving health outcomes. The primary criteria for receiving the incentive amount of “Meaningful Use” program included computerized physician order entry, investigation of drug interactions, creation of electronic prescriptions, and registration of demographic characteristics. The challenges of this program included the time-consuming nature of the program, the lack of control over infrastructure development, unusable technologies of electronic health records, and the all-or-nothing approach to certification. Conclusion: The use of new programs and solutions like “Meaningful Use” program can lead to the development of electronic health record and enables more secure exchange of information.}, Keywords = {Electronic Health Record, Promoting Interoperability Program, Meaningful Use Program, Information Sharing}, volume = {8}, Number = {1}, pages = {117-127}, publisher = {دانشگاه علوم پزشکی کرمان}, url = {http://jhbmi.ir/article-1-540-en.html}, eprint = {http://jhbmi.ir/article-1-540-en.pdf}, journal = {Journal of Health and Biomedical Informatics}, issn = {2423-3870}, eissn = {2423-3498}, year = {2021} } @article{ author = {Shafiei, Elaheh and Hajesmaeel-Gohari, Sadrieh and Haghbin, Mohammad Ali and Mirzaee, Moghaddameh and Bahaadinbeigy, Kambiz}, title = {Design and Evaluation of an Anesthesia Decision Support Mobile Application}, abstract ={Introduction: Anesthesia is one of the processes in which medication error is common. One of the most frequent medication errors in anesthesia is the error in calculating the dose of drugs. Decision support systems are one of the available solutions to reduce these errors. The purpose of this study was to design and evaluate an anesthesia decision support mobile application to assist anesthesiologists to choose the right and timely prescription of drugs. Method: This practical cross-sectional study was conducted in three stages including needs assessment, design, and evaluation. The needs assessment of this mobile app was performed using semi-structured interviews with physicians. After drawing the initial design, the mobile app was developed for the Android operating system, and in the end, it was evaluated based on accuracy and speed of calculation indicators. Results: The output of the interviews was classified into three categories including physicians’ views on the need to develop the app, the expected facilities and capabilities of the app, and the information content of the app. The evaluation results of this app showed that in all groups, except the expert group, the calculation time required by physicians was longer than the one by the mobile app. Moreover, the highest number of correct answers was given by the app user group and then the fourth-year resident group. Conclusion: An anesthesia decision support mobile app for physicians can significantly increase the accuracy and speed of physicians’ medication calculations. So far, no anesthesia mobile app has been developed in Iran according to valid international guidelines. Therefore, the results of this study can be taken into consideration by health service providers.  }, Keywords = {Anesthesia, Mobile Application, Decision Support System, Evaluation}, volume = {8}, Number = {1}, pages = {128-139}, publisher = {دانشگاه علوم پزشکی کرمان}, url = {http://jhbmi.ir/article-1-624-en.html}, eprint = {http://jhbmi.ir/article-1-624-en.pdf}, journal = {Journal of Health and Biomedical Informatics}, issn = {2423-3870}, eissn = {2423-3498}, year = {2021} } @article{ author = {Asadi, Nasrin and Rahman, Arash and ShahMohamadiDermani, Fereshteh}, title = {Modeling and Simulation of Different Stages of Growth and Response to Treatment of Cervical Cancer}, abstract ={Introduction: Today, cancer is one of the health concerns in modern societies. Cervical cancer occurs when abnormal cells grow in the cervix. Cervical cancer is one of the fatal cancers in women. Computational models are suitable for simulating complex phenomena such as cancer. Studying cervical cancer through computer modeling and simulation is an effective way to investigate and predict tumor behavior and patients’ response to treatment methods. The objective of this study was to develop a model to simulate the growth and treatment of cervical cancer and study it and analyze the process of chemotherapy in different stages of cervical cancer. Method: In this research, library study and NetLogo software tool were used for modeling and simulation. First, the anatomy of the uterus, cervix, fallopian tubes, vagina, lymph nodes around the uterus, liver, and lungs was designed and modeled. Then, different stages of cervical cancer were modeled according to TNM system and based on the way the cancer cells spread, tumor growth and spread were simulated and investigated in each stage. The control of tumor by chemotherapy mechanism was also modeled. Results: The model developed in this study provided the possibility of observing and investigating the growth and spread of tumor in different stages of cervical cancer. Predicting how the cervical tumor grows and behaves is one of the capabilities of the developed model. Conclusion: This model can be used as an appropriate tool to understand different stages of cervical cancer.}, Keywords = {Cervical Cancer, Cervical Cancer Modeling, Cervical Cancer Simulation}, volume = {8}, Number = {2}, pages = {140-152}, publisher = {دانشگاه علوم پزشکی کرمان}, url = {http://jhbmi.ir/article-1-568-en.html}, eprint = {http://jhbmi.ir/article-1-568-en.pdf}, journal = {Journal of Health and Biomedical Informatics}, issn = {2423-3870}, eissn = {2423-3498}, year = {2021} } @article{ author = {karimi, Hossein and Bakhsham, Milad and Hosseinpour, Mahdi}, title = {The Impact of the Internet of Things on Promoting Electronic Health Services for COVID-19 Patients from the Perspective of Treatment Staff}, abstract ={Introduction: IoT technology offers many benefits in dealing and controlling COVID-19 disease and will greatly facilitate the process of continuous remote patient diagnosis and monitoring with wireless sensors and smart devices. Also, Internet of Things, has positive effects in the field of health and treatment and promotion of electronic health services, including reducing health treatment care costs and delivery of treatment services in a faster manner. This article has been prepared with the aim of investigating the effect of Internet of Things on the promotion of electronic health services for COVID-19 patients from the perspective of treatment staff (physicians and nurses) of Golestan accidents hospital in Kermanshah city. Method: This research from the type, is quantitative and from the objective, is practical. The statistical sample of the present study consisted of 86 medical staff of Golestan accidents hospital in Kermanshah, which included nurses and physicians. In order to collect data, a researcher-made questionnaire was used, which was approved by 5 experts in the field of health and treatment. Results: The results indicate that all variables with a positive path coefficient have a positive relationship between the variables and the impact of the Internet of Things on the promotion of e-health services is confirmed and significant. Conclusion: IoT applications and technology can be a tool for promoting e-health services for COVID-19 patients by educating medical staff and the general public, providing infrastructure, and other appropriate measures, and assisting e-health services in achieving their goals.}, Keywords = {Electronic Health, COVID-19, Internet of Things, Treatment staff.}, volume = {8}, Number = {2}, pages = {153-164}, publisher = {دانشگاه علوم پزشکی کرمان}, url = {http://jhbmi.ir/article-1-572-en.html}, eprint = {http://jhbmi.ir/article-1-572-en.pdf}, journal = {Journal of Health and Biomedical Informatics}, issn = {2423-3870}, eissn = {2423-3498}, year = {2021} } @article{ author = {Heydari, Mohammad and Monaghesh, Elham and Ebadi, Javad and Heydari, Najmeh and Sharafi, Sadegh and Sajedimehr, Negin and Ramezanpour, Zahr}, title = {Identifying the Features of Iranian Mobile Applications Related to COVID 19 Disease}, abstract ={Introduction: COVID-19 has become a pandemic in the world; with the unprecedented growth of technology, smartphones play a role in different stages including managing COVID-19 outbreak. This study aimed to investigate Iranian mobile applications related to Covid-19 disease. Method: This descriptive cross-sectional study was conducted on all Iranian mobile applications related to COVID-19 in 2020. A search was conducted on Iranian digital app markets on phones with Android and iOS operating systems using the following keywords: ‘COVID-19’, ‘coronavirus’, and ‘corona’ with their Persian translations. For each app, the extracted information included name, category, cost, size, latest version, requirement for Internet connectivity, subscriber count app download, user satisfaction rate, developers, and purpose of development. Results: The search results indicated a total of 103 apps (76 Android and 27 iOS apps). The most frequent categories were medical apps, games, and educational apps.  About 80.6% of apps were free, 15.5% of apps had in-app purchases, and 3.9% of apps required payment for installation. Most applications were developed by personal developers and 84 applications were online and 19 applications were offline. Other goals of COVID-related application developers in Iran included entertainment, providing daily statistics, raising user awareness, control and tracking, self-care, and prevention. Conclusion: A wide range of mobile applications related to COVID disease are available with many capabilities. Given the findings and the positive role of this program in epidemic control, the effectiveness of screening and self-assessment programs requires the interaction of private developers and the public sector for integration}, Keywords = {COVID-19, Application, Mobile Health, Android, iOS, Mobile App}, volume = {8}, Number = {2}, pages = {165-173}, publisher = {دانشگاه علوم پزشکی کرمان}, url = {http://jhbmi.ir/article-1-589-en.html}, eprint = {http://jhbmi.ir/article-1-589-en.pdf}, journal = {Journal of Health and Biomedical Informatics}, issn = {2423-3870}, eissn = {2423-3498}, year = {2021} } @article{ author = {Baniasadi, Tayebeh and Shahmoradi, Leila and Mehravar, Fatemeh and Hajesmaeel-Gohari, Sadrieh}, title = {The Role of Learning Based on Virtual Patient Simulation in Surgical Training: A Survey at Tehran University of Medical Sciences}, abstract ={Introduction: Virtual patient simulation (VPS) as a computer interactive simulation has many applications in the field of medical education. This study aimed to investigate medical learners’ views regarding the role of learning based on these types of technologies in surgical training. Method: In this descriptive-analytical study, the convenience sampling method was used through which 100 interns and residents from Tehran University of Medical Sciences were selected. A researcher-made questionnaire was used to collect data after confirming its validity and reliability. The data were analyzed using descriptive and inferential statistics. Results: According to the respondents, the greatest impact of VPS can be in creating effective learning and facilitating knowledge acquisition. Among the items examined, the highest mean score was related to the effectiveness of VPS in gaining clinical experience in rare surgeries and lack of available clinical situations (4.27) and the lowest was obtained for the effect of VPS on reducing human error and minimizing it in the patient’s bedside (3.48). VPS-based training has been given priority in cardiovascular and neurological surgeries than in other surgeries. There was also more emphasis on learning rather than evaluation with this technology. Conclusion: Considering the positive attitude of the respondents towards the role of technologies in improving education, it is recommended to develop and implement these types of educational assistance programs to facilitate the acquisition of basic surgical skills and techniques.  }, Keywords = {Medical Education, Surgical Training, Training Simulation, Technology, Virtual Patient Simulation}, volume = {8}, Number = {2}, pages = {174-183}, publisher = {دانشگاه علوم پزشکی کرمان}, url = {http://jhbmi.ir/article-1-574-en.html}, eprint = {http://jhbmi.ir/article-1-574-en.pdf}, journal = {Journal of Health and Biomedical Informatics}, issn = {2423-3870}, eissn = {2423-3498}, year = {2021} } @article{ author = {MohammadiAbnavi, Mohammad and Saeed, Sajj}, title = {Evaluating the Performance of the Integrated Health System in the Quality of Health Care Delivery from the Viewpoint of Health Workers and Health Care Providers throughout Iran in 2020}, abstract ={Introduction: The Integrated Health System SIB is a system designed for electronic health records developed with the objective of information optimization and providing health care. Due to the outbreak of COVID-19 disease and the importance of the electronic health records, the present study aimed to investigate the performance of the shortcomings of SIB and identify the strengths and weaknesses of this system. Method: The present study was a descriptive cross-sectional one conducted in the Spring of 2020. A total of 166 health workers and health care providers throughout Iran participated in this study. A researcher-made questionnaire with a five-point Likert scale was made available online to individuals. Sampling was done purposively and then the data were entered into SPSS Software (version 26) by the researcher and analyzed using descriptive statistics as well as chi-square test, independent t-test, and correlation coefficient to test a specific hypothesis about the distribution of a variable. Results: The results of the present study showed that the quality of vaccination registration and its reporting is considered as the best performance of the SIB system. The performance of the entry and exit of the covered people was the weakest part of the SIB system. There was a statistically significant relationship between vaccination registration and gender (p-value = 0.014). Conclusion: The Findings of this study revealed that the performance of the SIB system in providing health care was evaluated as moderate to good. The results of this study can help system developers to improve the weaknesses of the SIB system in accordance with the existing capabilities.}, Keywords = {Electronic Health Record, Information Systems, Health Care}, volume = {8}, Number = {2}, pages = {184-192}, publisher = {دانشگاه علوم پزشکی کرمان}, url = {http://jhbmi.ir/article-1-591-en.html}, eprint = {http://jhbmi.ir/article-1-591-en.pdf}, journal = {Journal of Health and Biomedical Informatics}, issn = {2423-3870}, eissn = {2423-3498}, year = {2021} } @article{ author = {Saadi, Paria and Zeinalnezhad, Masoomeh and MovahediSobhani, Farz}, title = {Modeling and Predicting the Risk of Coronary Artery Disease Using Data Mining Algorithms}, abstract ={Introduction: Coronary artery disease (CAD) is one of the most common causes of death in adults while accurate and early diagnosis can lead to treatment and survival of patients to a great extent. Therefore, the objective of this study was to identify the effective factors leading to this disease and develop a data-driven model to assist physicians in predicting and diagnosing it. Method: This is an applied research, considering 2038 medical records, collected from Shahid Rajaei Heart Hospital in Tehran, during 5 years. A data preprocessing was carried out and random balanced sampling reduced the dataset into 1000 records, with 500 CAD and 500 Normal. Literature review, consultation with specialist physicians, and weighting using the Chi-square method led to the determination of important features. Support Vector Machine, Neural Network and Random Forest algorithms were applied in RapidMiner and Python. Results: Among the 35 identified variables, the most important features included VHD, Chest pain, LDL, RWMA, TG, Na, K, BP, and weight. The F-measure, precision, accuracy, and recall for random forest algorithm were calculated as 82.11%, 81.40%, 79.07%, and 85.40%, respectively, and the error rate was 18.6%. Conclusion: Random Forest predicted the risk of CAD with a reasonable precision. In comparison, due to the large number of input nodes, the error rate of the Neural Network model was relatively higher (23.6%).}, Keywords = {Coronary Artery Disease, Prediction, Support Vector Machine, Neural Network, Random Forest}, volume = {8}, Number = {2}, pages = {193-207}, publisher = {دانشگاه علوم پزشکی کرمان}, url = {http://jhbmi.ir/article-1-592-en.html}, eprint = {http://jhbmi.ir/article-1-592-en.pdf}, journal = {Journal of Health and Biomedical Informatics}, issn = {2423-3870}, eissn = {2423-3498}, year = {2021} } @article{ author = {Iranmanesh, Mahla and Shafiei, Elaheh and Mehrolhassani, Mohammadhossain and Hajesmaeel-Gohari, Sadrieh}, title = {Usability Evaluation of a Mobile-Based Application to Provide Home Health Services Using Heuristic Method}, abstract ={Introduction: Considering the importance of Mobile Health (mHealth) in improving the quality of health services, evaluating the performance of applications that provide these services seems necessary. One of the dimensions of assessing applications is usability evaluation. This study aimed to evaluate the usability of a home health services mobile application (30Teb) using the heuristic evaluation method. Method: The present study was an applied cross-sectional one. The usability of the user interface of the 30Teb home health services mobile application to provide health services in Kerman was evaluated using a heuristic evaluation checklist. In this study, three evaluators independently evaluated the user interface of the 30Teb mobile app. Results: A total of 241 problems were identified by three evaluators. After deleting duplicates and then summarizing them, 69 problems remained in the final list. The highest number of identified problems was related to the “identification instead of reminder” and “skills” components, and the lowest number was related to the “privacy” component. Moreover, the highest severity of the identified problems was related to the component of “user freedom and control of the system,” and the lowest severity was related to the “privacy” component. Conclusion: Although the problems identified in the 30Teb app were not very severe, paying attention to them in different design and implementation stages and solving these problems can lead to better user interaction and more effective use of a mobile application.}, Keywords = {Usability, Heuristic Evaluation, Mobile Health}, volume = {8}, Number = {2}, pages = {208-217}, publisher = {دانشگاه علوم پزشکی کرمان}, url = {http://jhbmi.ir/article-1-595-en.html}, eprint = {http://jhbmi.ir/article-1-595-en.pdf}, journal = {Journal of Health and Biomedical Informatics}, issn = {2423-3870}, eissn = {2423-3498}, year = {2021} } @article{ author = {Khazaei, Zeinab and Langarizadeh, Mostafa and ShiriAhmadAbadi, Mohammad Ebrahim}, title = {Glioma Brain Tumor Identification Using Magnetic Resonance Imaging with Deep Learning Methods: A Systematic Review}, abstract ={Introduction: Glioma is one of the most common brain tumors, the early and accurate diagnosis of which leads to proper treatment and prolongs the patient’s life. The studies conducted on glioma diagnosis using magnetic resonance imaging images with deep learning methods were reviewed and analyzed in this study. Method: This study was a systematic review in which PubMed, ScienceDirect, Springer, IEEE, and Arxiv databases were searched between 2010 and 2020 in order to retrieve English language studies using keywords. Then, the articles were selected based on the inclusion and exclusion criteria and in line with the purpose of the research and the required information was extracted for review. Results: Finally, 35 original research articles were selected. The review of the articles showed that they used a pipeline including collecting images, preprocessing, designing and implementing a model, and evaluating the results of the model for tumor detection, classification, and segmentation. The majority of the articles used public images and pre-trained models. In most articles, Dice similarity coefficient and accuracy criteria were used in segmentation and classification, respectively, as model evaluation criteria. Conclusion: The results of this study revealed that in most articles, segmentation received more attention in comparison with detection and classification. Therefore, it is suggested that more studies be carried out on detection and especially grading glioma for being utilized in medical diagnostic assistance systems.}, Keywords = {Deep Learning, Glioma Brain Tumor, Magnetic Resonance Imaging}, volume = {8}, Number = {2}, pages = {218-233}, publisher = {دانشگاه علوم پزشکی کرمان}, url = {http://jhbmi.ir/article-1-565-en.html}, eprint = {http://jhbmi.ir/article-1-565-en.pdf}, journal = {Journal of Health and Biomedical Informatics}, issn = {2423-3870}, eissn = {2423-3498}, year = {2021} } @article{ author = {Etemadi, Sina and Moulaei, Khadijeh and Hedayatipour, Marj}, title = {Investigating the Role of Electronic Management Dashboard in Quality Improvement of Services Provided in Operating Rooms: A Systematic Review}, abstract ={Introduction: Maximizing the efficiency of operating rooms to provide medical services is of great importance. Electronic dashboards are one of the ways to provide quality services in operating rooms by making clinical and managerial information available on time. Therefore, the purpose of this study was to investigate the role of electronic management dashboard in improving the quality of services provided in operating rooms. Method: In this systematic review study, three databases including PubMed, Web of Science, and Scopus were searched for relevant articles. Selection of articles and data extraction were done by two researchers and the disagreements were resolved in consultation with the third researcher. Results: From among 116 retrieved articles, 8 studies were selected for the final review. The most important positive consequences of using dashboards were “increasing the efficiency and productivity of the operating room and hospital”, “increasing the satisfaction of surgeons, staff, and patients in performing treatment processes”, and “preventing delays in performing surgeries with the right timing”. Moreover, four challenges related to the use of dashboards in the operating room were identified. Besides, “analyzing surgical processes from the time the patient enters the operating room to his/her exit by providing visual diagrams and text reports” and “determining the time required to perform each operation and setting free time for physicians and operating room staff” were also the most important capabilities of operating room dashboards. Conclusion: The use of electronic management dashboards can increase the quality of health-management services provided in operating rooms and help managers face less challenges for planning and future foresight}, Keywords = {Electronic Dashboard, Operating Room, Management, Quality Improvement}, volume = {8}, Number = {2}, pages = {234-242}, publisher = {دانشگاه علوم پزشکی کرمان}, url = {http://jhbmi.ir/article-1-623-en.html}, eprint = {http://jhbmi.ir/article-1-623-en.pdf}, journal = {Journal of Health and Biomedical Informatics}, issn = {2423-3870}, eissn = {2423-3498}, year = {2021} } @article{ author = {Mohammadi, Alireza and Nouri, Sepideh}, title = {Site Selection of Emergency Medical Centers (EMCs) Using Environmental Hazard Management Approach: A Case Study of Ardabil}, abstract ={Introduction: Many people call emergency medical centers (EMCs) during a day due to accidents or various diseases and they need to receive first aid. In order to provide first aid, it is necessary to send emergency workers and vehicles from the emergency medical services centers to the location of the accidents. Therefore, the accessibility of the EMCs and their being located in an appropriate place are of great importance. The objective of this study was to analyze the spatial distribution pattern of the existing EMCs and to introduce suitable areas for the establishment of new centers. Method: The present study was a descriptive-analytical one. Ardabil, a city in Iran, was selected as the study area for analysis. A total of 22 criteria were used for site selection. The Analytic Network Process (ANP) was used to determine the weights of the criteria and the VIKOR model was utilized in Geographic Information System (GIS) to prepare an urban zoning map for the site selection of new centers. Results: The existing EMCs cover only a limited part of Ardabil and many parts of the city, including the outskirts, cannot receive proper emergency medical services (EMS). The created map suggested new locations to increase accessibility. Conclusion: Spatial redistribution and allocation of EMCs can improve accessibility of these centers. The GIS can provide a good platform for the redistribution of EMS. Health policymakers and planners may use the results of this study to optimally allocate resources.}, Keywords = {Accidents, Emergency Medical Centers, Site selection, Geographic Information Systems}, volume = {8}, Number = {3}, pages = {243-259}, publisher = {دانشگاه علوم پزشکی کرمان}, url = {http://jhbmi.ir/article-1-590-en.html}, eprint = {http://jhbmi.ir/article-1-590-en.pdf}, journal = {Journal of Health and Biomedical Informatics}, issn = {2423-3870}, eissn = {2423-3498}, year = {2021} } @article{ author = {Movahedi, Elnaz and Etminan, Abbas and Mirzaei, Moghadameh and ErshadSarabi, Roghayeh}, title = {Investigating the Effect of Educational Text Messages on Self-Care in Hypertensive Patients in a Hypertension Clinic in Kerman}, abstract ={Introduction: Self-care in chronic diseases implies the study and control of disease symptoms, maintaining a healthy lifestyle, and daily functioning. The objective of this study was to investigate the effect of educational text messages on self-care in hypertensive patients in one of the hypertension clinics in Kerman in 2020. Method: The statistical population of this quasi-experimental study included 316 patients with a history of hypertension, of whom 64 were selected as the sample of the study. Then, the selected participants were randomly assigned to two intervention and control groups each with 32 members. The self-care behavior questionnaire for hypertensive patients was used to collect data. Before the intervention, the questionnaires were completed by the participants. Then, educational text messages were sent to the intervention group for one month while the control group received no intervention. At the end of the training, all patients completed the questionnaires again. Data were analyzed using SPSS software (version 26). Results: The results showed that the mean score of self-care in the intervention group after the intervention (previous score being controlled) was 6.92 more than that of the control group, which was statistically significant (P-value <0.01). Thus, using mobile health (mHealth) had a greater impact on increasing self-care in patients with hypertension compared with the conventional self-care methods. Conclusion: The results of this study indicated the efficiency of educational text messages in self-care of patients with hypertension. Therefore, it is a good choice to use mHealth technologies for providing health care.}, Keywords = {mHealth, SMS, Self-Care, Hypertension}, volume = {8}, Number = {3}, pages = {260-269}, publisher = {دانشگاه علوم پزشکی کرمان}, url = {http://jhbmi.ir/article-1-621-en.html}, eprint = {http://jhbmi.ir/article-1-621-en.pdf}, journal = {Journal of Health and Biomedical Informatics}, issn = {2423-3870}, eissn = {2423-3498}, year = {2021} } @article{ author = {Eskandarian, Parinaz and BagherzadehMohasefi, Jamshid and Pirnejad, Habibollah and Niazkhani, Zahr}, title = {Multivariate Feature Extraction for Prediction of Future Gene Expression Profile}, abstract ={Introduction: The features of a cell can be extracted from its gene expression profile. If the gene expression profiles of future descendant cells are predicted, the features of the future cells are also predicted. The objective of this study was to design an artificial neural network to predict gene expression profiles of descendant cells that will be generated by division/differentiation of hematopoietic stem cells. Method: The developed neural network takes the parent hematopoietic stem cell’s gene expression profile as input and generates the gene expression profiles of its future descendant cells. A temporal attention was proposed to encode the main time series and a spatial attention was also provided to encode the secondary time series. Results: To make an acceptable prediction, the gene expression profiles of at least four initial division/differentiation steps must be known. The designed neural network surpasses the existing neural networks in terms of prediction accuracy and number of correctly predicted division/differentiation steps. The proposed scheme can predict hundreds of division/differentiation steps. The proposed scheme’ error in prediction of 1, 4, 16, 64, and 128 division/differentiation steps was 3.04, 3.76, 5.5, 7.83, and 11.06 percent, respectively. Conclusion: Based on the gene expression profile of a parent hematopoietic stem cell, the gene expression profiles of its descendants can be predicted for hundreds of division/differentiation steps and if necessary, solutions must be sought to encounter future genetic disorders.}, Keywords = {Hematopoietic Stem Cell, Neural Network, Multivariate Time Series, Gene Expression Profile, Prediction}, volume = {8}, Number = {3}, pages = {270-281}, publisher = {دانشگاه علوم پزشکی کرمان}, url = {http://jhbmi.ir/article-1-610-en.html}, eprint = {http://jhbmi.ir/article-1-610-en.pdf}, journal = {Journal of Health and Biomedical Informatics}, issn = {2423-3870}, eissn = {2423-3498}, year = {2021} } @article{ author = {Nejadshafiee, Mahdiye and Bahaadinbeigy, Kambiz and Kazemi, Majid and Nekoei-Moghadam, Mahmoo}, title = {Prioritizing the telenursing care during incidents and disaster from the view of nurses}, abstract ={Introduction: Uncertainty and sudden occurrence of disasters require special attention and nurses, as the largest human resource, have a critical role in maintaining and promoting the health. The use of telenursing care during disaster is an applicable way to provide care. The aim of this was to prioritizing telenursing care in disasters from the view of nurses. Method: This descriptive-analytical study was part of a larger mixed methods on prioritizing telenursing care in disasters from the view of nurses. Samples were selected using census. The data were analyzed using SPSS software. Results: The prioritizing extracted care included:(1) Management of trauma, (2) Technical skills, (3) Care and decision-making in stressful situations (triage), (4) Management of patients with special needs, (5) Life-saving intervention, and (6) Psychological and emotional supports. Conclusion: According to the shortage of specialized nurses in disastrous areas, a telenursing program will provide a new window and provide help to victims of disasters.}, Keywords = {Telenursing, Incidents, Disasters, Nurse}, volume = {8}, Number = {3}, pages = {282-291}, publisher = {دانشگاه علوم پزشکی کرمان}, url = {http://jhbmi.ir/article-1-617-en.html}, eprint = {http://jhbmi.ir/article-1-617-en.pdf}, journal = {Journal of Health and Biomedical Informatics}, issn = {2423-3870}, eissn = {2423-3498}, year = {2021} } @article{ author = {Abasi, Arezoo and Kazemnejad, Anoshirvan and Moezy, Azar and Asosheh, Abbas}, title = {The Use of Expert System in the Rehabilitation of Patients after Anterior Cruciate Ligament Arthroscopic Surgery: A Randomized Clinical Trial}, abstract ={Introduction: The Anterior Cruciate Ligament (ACL) plays a vital role in stabilizing the knee. ACL lesions cause joint instability and severe disturbances in physical function and balance. After ACL reconstruction surgery, patients' ability to perform daily activities is significantly reduced and rehabilitation programs are necessary. The objective of the present study was to use an expert system for virtual reality application with the Wii Fit system to run a rehabilitation program in patients after ACL reconstruction. Method: This pilot study was performed as a randomized clinical trial on 20 eligible patients in two treatment groups over four weeks; one group with an expert system-based program with Wii Fit (WF group) and the other group with a standard rehabilitation program (CT group). In the first phase of the study, an expert system was developed with the help of specialists, then in the clinical phase, all patients were evaluated and rehabilitated. In statistical analysis, paired t-test and independent t-test were used. Results: Findings from statistical analysis showed significant differences before and after rehabilitation between the two groups in pain (P<0.001), joint swelling (P<0.001), thigh girth (P<0.001), Knee range of motion (P=0.002), and functional status of patients with Single-leg hop for distance (P<0.001), and Single-leg hop for time (P=0.014). The results revealed a significant improvement in patients in the WF group compared to the CT group. Conclusion: The rehabilitation approach using the expert system for Wii Fit exercises has had significant effects on pain, swelling, range of motion, and patient performance compared to the usual rehabilitation method.  }, Keywords = {Expert System, Anterior Cruciate Ligament, Function, Virtual Reality}, volume = {8}, Number = {3}, pages = {292-303}, publisher = {دانشگاه علوم پزشکی کرمان}, url = {http://jhbmi.ir/article-1-614-en.html}, eprint = {http://jhbmi.ir/article-1-614-en.pdf}, journal = {Journal of Health and Biomedical Informatics}, issn = {2423-3870}, eissn = {2423-3498}, year = {2021} } @article{ author = {Koohestani, Azita and Nasiripour, Amir Ashkan and Riahifar, Mahdi}, title = {An Optimal Model for Medicine Preparation Using Data Mining}, abstract ={Introduction: Lack of financial resources and liquidity are the main problems of hospitals. Pharmacies are one of the sectors that affect the turnover of hospitals and due to lack of forecast for the use and supply of medicines, at the end of the year, encounter over-inventory, large volumes of expired medicines, and sometimes shortage of medicines. Therefore, medicine prediction using available retrospective data leads to improved resource management in hospitals. Due to the high capability of data mining in modeling medical problems, selected algorithms were used to determine the optimal model of medicine preparation.   Method: In this cross-sectional study, to investigate different types of data mining algorithms, an information form was developed based on the design objectives and then defined in the form of reports in the hospital information system. The data were extracted using Crystal Report software. To develop the model, the accuracy of the data mining prediction algorithms including KNN, SVM, NN, Random Forest, LR, and Adaboost was examined based on MSE, RMSE, MAE, and R2 criteria in Weka software. Results: Concerning R2, MAE, and RMSE criteria, Adaboost method (0.78, 247, 827) and random forest method (0.6, 1170, 1868) had the highest accuracy compared to other models and reduced the error rate more. Other methods with the above criteria had poorer performance in predicting the research problem. Conclusion: The results of this study indicated that the Adaboost and random forest methods are more accurate than other methods. A small percentage of hospitals plan to manage the preparation of medicines; thus, it is suggested that managers of hospitals and pharmacies use data mining in the management of their respective units.}, Keywords = {Medicine, Hospital, Data Mining, Prediction Algorithms}, volume = {8}, Number = {3}, pages = {304-314}, publisher = {دانشگاه علوم پزشکی کرمان}, url = {http://jhbmi.ir/article-1-645-en.html}, eprint = {http://jhbmi.ir/article-1-645-en.pdf}, journal = {Journal of Health and Biomedical Informatics}, issn = {2423-3870}, eissn = {2423-3498}, year = {2021} } @article{ author = {GhayoumiZadeh, Hossein and Fayazi, Ali and Rezaee, Khosro and Gholizadeh, Mohammad Hossein and Eskandari, Mehdi}, title = {Segmentation of the Left Atrial Appendage in the Echocardiographic Images of the Heart Using a Deep Neural Network}, abstract ={Introduction: Cardiovascular diseases are one of the leading causes of mortality in today’s industrial world. Occlusion of left atrial appendage (LAA) using the manufactured devices is a growing trend. The objective of this study was to develop a computer-aided diagnosis system for the identification of LAA in echocardiographic images. Method: The data used in this descriptive analytical study included 3D echocardiographic images of the heart of 32 patients in King’s College Hospital in London. All patients were treated successfully using the LAA closure device. A total of 208 two-dimensional images were first obtained from each 3D echocardiographic image data set. Then, 1914 images in which the LAA region was clearly recognizable were selected for this study. The proposed neural network was compiled based on the YOLOv3 algorithm. Finally, 1369 and 545 images were used for training and testing the algorithm, respectively. Results: The performance of the algorithm in detecting the LAA on a set of 545 images was compared with the regions detected in similar images by an expert in echocardiography through intersection over union (IOU). The algorithm was able to correctly identify the LAA region in all 545 examined images with an average IOU of 99.37%. Conclusion: The proposed image-based algorithm could detect LAA region in echocardiographic images with a high accuracy. This method can be used to develop algorithms for automatic analysis of the LAA region to determine the size of the closure device and to plan an efficient procedure in LAA occlusion methods.}, Keywords = {Echocardiography, Deep Neural Network, Convolutional Neural Network (CNN), Atrial Fibrillation (AF), Left Atrial Appendages (LAA)}, volume = {8}, Number = {3}, pages = {315-325}, publisher = {دانشگاه علوم پزشکی کرمان}, url = {http://jhbmi.ir/article-1-612-en.html}, eprint = {http://jhbmi.ir/article-1-612-en.pdf}, journal = {Journal of Health and Biomedical Informatics}, issn = {2423-3870}, eissn = {2423-3498}, year = {2021} } @article{ author = {Golkar, Ali and Malekhosseini, Razieh and RahimiZadeh, Keyvan and Yazdani, Azita and Beheshti, Ami}, title = {Development of a Model for Predicting Heart Attack Based on Fog Computing}, abstract ={Introduction: Various studies have demonstrated the benefits of using distributed fog computing for the Internet of Things (IoT). Fog computing has brought cloud computing capabilities such as computing, storage, and processing closer to IoT nodes. The new model of fog and edge computing, compared to cloud computing, provides less latency for data processing by bringing resources closer to users. This is essential for delay-sensitive applications such as remote healthcare and provides more reliable services. In this study, a fog-based system was proposed to monitor the condition of heart patients. Method: This study was a developmental-applied one. A set of data relevant to coronary heart patients available in the machine learning data repository of the University of California Irvine was used for evaluation. In this system, each of the heart patient's symptoms is evaluated based on the normal range in the fog layer and the status of the patient is determined. In this layer, requests are prioritized based on the number of symptoms that are out of the normal range. The efficiency of the proposed system was evaluated in terms of network usage time, latency, and response time. Results: The system presented in this study led to the improvement of network usage time by 23.77%, reduction of latency by 23.71%, and enhancement of response time by 32.95%. Conclusion: Using the priority queue to prioritize requests at the fog layer reduces the response time to emergency requests.}, Keywords = {Fog Computing, Internet of Things (IoT), Telemonitoring, Cloud Computing}, volume = {8}, Number = {3}, pages = {326-337}, publisher = {دانشگاه علوم پزشکی کرمان}, url = {http://jhbmi.ir/article-1-640-en.html}, eprint = {http://jhbmi.ir/article-1-640-en.pdf}, journal = {Journal of Health and Biomedical Informatics}, issn = {2423-3870}, eissn = {2423-3498}, year = {2021} } @article{ author = {Zeidabadinejad, Mobina and Bahaadinbeigy, Kambiz and Cheshmekaboodi, Mojgan and Amiri, Parasto}, title = {Investigating the Quality of Persian Mobile Applications Related to Patients with MS}, abstract ={Introduction: As the use of health-related applications increased, researchers sought to analyze them from different angles such as function, technology, benefits, risks, etc., so that other researchers and the target community could be aware of the current status of these applications. This study aimed to evaluate the quality of Persian mobile applications designed for MS disease based on the Mobile Application Ranking Scale (MARS). Method: This study was conducted on Persian mobile applications related to MS in January 2020. To identify these applications, a combined search of keywords related to "MS" and "mobile application" was done. Considering the popularity of the Android platform for mobile phones in Iran, researchers searched for the mentioned keywords in the "Cafebazaar" application. The Mobile Application Ranking Scale was adopted to evaluate the quality of applications. Results: Ten applications were included in this study. The results showed that each application had a combination of goals, such as prevention (n=6), diagnosis (n=7), initial treatment (n=10), and disease control (n=1) to increase awareness of the disease. One of the goals of all applications was to inform the users about the initial treatment. The initial installation version of all ten apps was free, but eight of them needed in-app purchases to upgrade information. According to the MARS scores, none of the apps were suitable for helping patients. Conclusion: The results showed that most Persian application designers have paid attention to the interactive aspects of applications and have neglected to provide scientific content. Developers of these applications are advised to evaluate them in the first place and then make them available to the public so that low-quality applications would not be available to patients.  }, Keywords = {Multiple Sclerosis, Mobile Applications, Mobile Health, Quality}, volume = {8}, Number = {4}, pages = {338-346}, publisher = {دانشگاه علوم پزشکی کرمان}, url = {http://jhbmi.ir/article-1-669-en.html}, eprint = {http://jhbmi.ir/article-1-669-en.pdf}, journal = {Journal of Health and Biomedical Informatics}, issn = {2423-3870}, eissn = {2423-3498}, year = {2022} } @article{ author = {Moshiri, Fatemeh and Asosheh, Abbas}, title = {Classification of Architectural Styles based on the Dimensions of the Integration of Hospital Information Systems}, abstract ={Introduction: Hospital information system (HIS) is a comprehensive software for integrating patient information for sending and exchanging health information between wards and other medical centers in order to accelerate the process of patient care and treatment, improve quality, and increase patient satisfaction. The advent of diverse and heterogeneous health care information systems in the field of e-health has led to interoperable problems. In this regard, this study aimed to provide the necessary architectural styles, to achieve an integrated HIS architecture, classified into six main categories, including distributed, dataflow, and modern systems. Method: In this strategic applied study, first, different types of HIS architectural models, their requirements, the concept of interoperability and its dimensions, and different types of architectural styles and their categories were examined. Then, according to HIS requirements and interoperability dimensions, the classification of architectural styles was proposed. Results: The results showed that the use of appropriate architectural styles facilitates the achievement of integrated architecture. The proposed classification of architectural styles is formed of six categories of systems including system of systems, shared memory, dataflow, calling, distributed, and modern systems. Conclusion: Integration in HIS subsystems is one of the essentials in health systems. Applying the proposed classification supports architects in selecting interoperable requirements properly with the help of different architectural styles and placing them in the integrated HIS architectural design.  }, Keywords = {Hospital Information Systems (HIS), Integration, Interoperability, Architectural Pattern}, volume = {8}, Number = {4}, pages = {347-358}, publisher = {دانشگاه علوم پزشکی کرمان}, url = {http://jhbmi.ir/article-1-664-en.html}, eprint = {http://jhbmi.ir/article-1-664-en.pdf}, journal = {Journal of Health and Biomedical Informatics}, issn = {2423-3870}, eissn = {2423-3498}, year = {2022} } @article{ author = {Badi, Arshia and Rahbar, Farh}, title = {Development of Telemedicine System during the Outbreak of Epidemic Diseases using Virtual Social Networks}, abstract ={Introduction: The Covid-19 outbreak crisis in 2019 ushered in a new chapter in the development of virtual communication systems. Social networks can be considered one of the most successful tools in the field of information technology which always plays an important role in such situations. Availability, low cost, high reliability, popularity, and scalability are some of the key features of social networks that make them very instrumental in telemedicine development. Method: In this research, a new cycle in telemedicine systems based on virtual social networks, through the agile development method, has been built up; so that the processes of prevention, identification, diagnosis, and treatment would be efficiently followed, using a social network with a robot-making platform for easy scalability. Results: Considering the effects of events such as the Covid-19 pandemic, social networking platforms can be used as practical tools for screening, prevention, treatment, and treatment, due to their accessibility. To reduce the psychological burden on society in acute and special situations, these platforms can be adopted as a strategy for virtual therapy by healthcare staff. Conclusion: The possibility of creating messaging platforms and developing interactive robots are among the advantages of social networks. This method is easy to develop and low-cost. Thus, a dynamic relationship with users through the possibility of telemedicine, acquired from messaging social networks, can be established.  }, Keywords = {Covid-19, Social Network, Telemedicine, Social Network Robot}, volume = {8}, Number = {4}, pages = {359-377}, publisher = {دانشگاه علوم پزشکی کرمان}, url = {http://jhbmi.ir/article-1-646-en.html}, eprint = {http://jhbmi.ir/article-1-646-en.pdf}, journal = {Journal of Health and Biomedical Informatics}, issn = {2423-3870}, eissn = {2423-3498}, year = {2022} } @article{ author = {Gozali, Elaheh and Rahimi, Bahlol and Sadeghi, Malihe and GhaziSaeedi, Marjan and FarokhEslamloo, Hamidreza and Safdari, Rez}, title = {Necessity of using Electronic System for Recording and Monitoring of Developmental Motor Disorders in Children}, abstract ={}, Keywords = {}, volume = {8}, Number = {4}, pages = {378-382}, publisher = {دانشگاه علوم پزشکی کرمان}, url = {http://jhbmi.ir/article-1-686-en.html}, eprint = {http://jhbmi.ir/article-1-686-en.pdf}, journal = {Journal of Health and Biomedical Informatics}, issn = {2423-3870}, eissn = {2423-3498}, year = {2022} } @article{ author = {Sayyadi-Tooranloo, Hossein and Hafizi-Atabak, Reihaneh and Rezaei, Nahi}, title = {Identifying Indicators Affecting the Evaluation of Service Quality of Medical Centers’ Online Appointment Systems}, abstract ={Introduction: Online queuing systems in medical centers significantly reduce waiting time and costs, and increase patient satisfaction with the quality of services provided. Service provisions with the desired quality through these systems will manage the crowds in the health care centers. In the current situation, gatherings cause an upward trend of the COVID-19 pandemic and subsequent problems for the clients. Therefore, identifying the indicators affecting the evaluation of service quality of queuing systems is essential and can be effective in improving medical services. Method: The present study is an applied research in terms of purpose, and a descriptive-analytical survey study in terms of data collection. Fifteen individuals living in Yazd city, including university professors, experts of medical centers, and users familiar with online appointment systems, formed the statistical population. In this study, in order to collect data, three types of questionnaires were distributed among experts. Results: The results of the study with the combined approach of AHP and fuzzy DEMATEL indicated that accuracy of appointment time and information, level of experience of site planners, the possibility of cancellation of booked appointments, and reliability of the system are the influential indicators. Conclusion: Identifying the effective indicators of the online queuing system has played a very effective role in increasing the level of information exchange, reducing costs, especially during the corona outbreak, improving the quality of services provided by medical centers, and accordingly increasing patient satisfaction. The mentioned features have led to a significant increase in the use of online queuing systems in health care centers in recent years.  }, Keywords = {Online Scheduling, Evaluation, Fuzzy Approach}, volume = {8}, Number = {4}, pages = {383-397}, publisher = {دانشگاه علوم پزشکی کرمان}, url = {http://jhbmi.ir/article-1-649-en.html}, eprint = {http://jhbmi.ir/article-1-649-en.pdf}, journal = {Journal of Health and Biomedical Informatics}, issn = {2423-3870}, eissn = {2423-3498}, year = {2022} } @article{ author = {Sheikhtaheri, Abbas and Pilevari, Shamim and Sangestani, Sajj}, title = {Requirements of Self-care Applications for Patients with Polycystic Ovary Syndrome}, abstract ={Introduction: Polycystic ovary syndrome is a chronic disease with a wide range of complications. Due to the complexity of this syndrome, patients often suffer from limited knowledge. With the unprecedented growth of technology, smartphones have gained significant importance due to their availability to facilitate learning and increase self-awareness. This study aimed to identify the requirements of self-care applications for patients with polycystic ovary syndrome. Method: In this applied study, a quantitative-descriptive design was conducted in 2021. The requirements of the polycystic ovary syndrome applications including educational content, data elements, and features were assessed using needs assessments from patients and gynecologists. In this regard, a questionnaire was administered to patients (n=45) and gynecologists (n=17) in Fatemieh Educational and Medical Center in Hamadan, Iran. The obtained data (44 questionnaires) were analyzed by SPSS software version 24 using descriptive statistics and the necessary components were identified. Results: The findings indicated that in the view of patients and gynecologists, all educational components were considered necessary except learning the causes of the disease. Finally, out of 53 questioned features in 11 subjects, only “displaying self-care messages for the monthly menstrual cycle” and “messages for nocturnal sleep management” were identified as unnecessary. Conclusion: The features presented in this study can be considered as a model for designing mobile applications for polycystic ovary syndrome.  }, Keywords = {Polycystic Ovary Syndrome, Self-care, Mobile Health}, volume = {8}, Number = {4}, pages = {398-408}, publisher = {دانشگاه علوم پزشکی کرمان}, url = {http://jhbmi.ir/article-1-674-en.html}, eprint = {http://jhbmi.ir/article-1-674-en.pdf}, journal = {Journal of Health and Biomedical Informatics}, issn = {2423-3870}, eissn = {2423-3498}, year = {2022} }