@article{ author = {Sheikhtaheri, Abbas and Hasani, Najmeh and Hosseini, Agha Fatemeh}, title = {Effect of the Picture Archiving and Communication System Implementation on the Diagnosis Accuracy of Emergency Physicians in CT Scan Examinations}, abstract ={Introduction: Picture Archiving and Communication System (PACS) allows the processing, archiving, and sharing medical images electronically with different parts of the hospital, especially the emergency department. The aim of this study was to evaluate the effect of PACS on the diagnosis accuracy of emergency department physicians before and after its implementation.  Method: In this analytical study, the diagnosis of emergency physicians was compared with that of radiologists in each period. Eventually, the data obtained in the two periods were compared. In this study, 380 and 509 CT scans were analyzed before and after the PACS implementation, respectively. Data analysis and comparison of the accuracy and agreement of diagnosis in the pre- and post-PACS implementation periods were performed using Chi-square test, and statistical significance level was calculated using SPSS version 24.  Results: The accurate diagnosis of CT scan examinations increased from 284 examinations (75.9%) before PACS implementation to 428 examinations (84.4%). The diagnostic agreement also increased from 306 examinations (81.8%) before PACS implementation to 452 examinations (89.2%). Statistical significant level was considered at P<0.05. Conclusion: The accuracy and agreement of the diagnosis of emergency physicians in CT scan examinations in the post-PACS implementation period increased compared to the pre-PACS implementation period; as a result, the implementation of PACS increases the diagnostic agreement between emergency physicians and radiologists, followed by an increased diagnosis accuracy of emergency physicians.}, Keywords = {Picture archiving and communication system, Emergency department, CT scan}, volume = {6}, Number = {1}, pages = {1-11}, publisher = {دانشگاه علوم پزشکی کرمان}, url = {http://jhbmi.ir/article-1-330-en.html}, eprint = {http://jhbmi.ir/article-1-330-en.pdf}, journal = {Journal of Health and Biomedical Informatics}, issn = {2423-3870}, eissn = {2423-3498}, year = {2019} } @article{ author = {Momeny, Mohammad and Latif, Ali Mohammad and AghaSarram, Mehdi and Hajmirzazade, Kazem and Gharravi, Sorayya and SeyedMahammad, NaghiboAlghar}, title = {Diabetes Prediction by Optimizing the Nearest Neighbor Algorithm Using Genetic Algorithm}, abstract ={Introduction: Diabetes or diabetes mellitus is a metabolic disorder in body when the body does not produce insulin, and produced insulin cannot function normally. The presence of various signs and symptoms of this disease makes it difficult for doctors to diagnose. Data mining allows analysis of patients’ clinical data for medical decision making. The aim of this study was to provide a model for increasing the accuracy of diabetes prediction. Method: In this study, the medical records of 1151 patients with diabetes were studied, with 19 features. Patients’ information were collected from the UCI standard database. Each patient has been followed for at least one year. Genetic Algorithm (GA) and the nearest neighbor algorithm were used to provide diabetes prediction model. Results: It was revealed that the prediction accuracy of the proposed model equals 0.76. Also, for the methods of Naïve Bayes, Multi-layer perceptron (MLP) neural network, and support vector machine (SVM), the prediction accuracy was 0.62, 0.65, and 0.75, respectively. Conclusion: In predicting diabetes, the proposed model has the lowest error rate and the highest accuracy compared to the other models. Naïve Bayes method has the highest error rate and the lowest accuracy.}, Keywords = {Prediction of diabetes, Genetic algorithm, Nearest neighbor algorithm, Data mining}, volume = {6}, Number = {1}, pages = {12-23}, publisher = {دانشگاه علوم پزشکی کرمان}, url = {http://jhbmi.ir/article-1-311-en.html}, eprint = {http://jhbmi.ir/article-1-311-en.pdf}, journal = {Journal of Health and Biomedical Informatics}, issn = {2423-3870}, eissn = {2423-3498}, year = {2019} } @article{ author = {Alizadeh, Ismaeil and Gorouhi, Mohammad amin and AghaeiAfshar, Abbas and Hyati, Roghayeh and Mirr, Im}, title = {Satisfaction of Mobile Users with mobile Application "Identification, Prevention, and Control of Bed Bugs": Designing and Developing Mobile Health Application}, abstract ={Introduction: Bed bugs are considered as public health nuisance insects, which can feed on humans and cause psychological distress, insomnia, anxiety, anemia, and skin itching in individuals. The aim of this study was to design and implement a mobile application "identification, prevention, and control of bed bug", and also to assess the satisfaction of mobile users with this application. Method: In the first phase of this study, the mobile application that includes three steps of identification, prevention, and control of bed bug, was designed and installed on the people's mobile phone. In the second phase, a descriptive cross-sectional study was conducted on 100 mobile users using an electronic questionnaire. Descriptive data were analyzed by SPSS version 18. Results: The satisfaction rate of the application users in most of the questions was at high level (more than 80%). According to the users' answers to the question about the impact of educational data presented through this application, its impact was high (78%). Conclusion: Due to high accessibility, this application increases individuals' knowledge, saves cost and time to control bed bugs, therefore, the use of this mobile health application is recommended.}, Keywords = {Mobile health, Bed bug, Health nuisance insect, Application}, volume = {6}, Number = {1}, pages = {24-31}, publisher = {دانشگاه علوم پزشکی کرمان}, url = {http://jhbmi.ir/article-1-353-en.html}, eprint = {http://jhbmi.ir/article-1-353-en.pdf}, journal = {Journal of Health and Biomedical Informatics}, issn = {2423-3870}, eissn = {2423-3498}, year = {2019} } @article{ author = {SoleimanianGharehchopogh, Farhad and Mousavi, Seyyed Keiv}, title = {A Decision Support System for Diagnosis of Diabetes and Hepatitis, based on the Combination of Particle Swarm Optimization and Firefly Algorithm}, abstract ={Introduction: Clinical Decision Support Systems (CDSS) are designed in the form of computer programs that help medical professionals make decisions about disease diagnosis. The main aim of these systems is to assist physicians in diagnosing diseases, in other words, a physician can interact with the system and use them to analyze patient data, diagnose diseases, and other medical activities. Method: This is a descriptive-analytic study. The datasets include 768 records of diabetes with 8 features and 155 records of hepatitis with 19 features, which were provided by the Global Website of UCI. In this study, the Particle Swarm Optimization (PSO) algorithm was used for Feature Selection (FS) and the Firefly Algorithm (FA) was used to classify diabetes and hepatitis into two healthy and unhealthy classes. 80% of the data was used for training and the remaining (20%) was used for testing. Results: The experiments showed that the accuracy of the PSO and FA for the diabetes dataset was 84.41% and 82.08%, respectively. Also, the accuracy of the PSO and FA for the hepatitis dataset was 81.84% and 80.34%, respectively. The accuracy of the proposed model for the diabetes and hepatitis datasets was 95.38% and 94.09%, respectively. Conclusion: According to the results, the proposed model had a lower error rate in diagnosis compared to the PSO and FA. The results of this study can help doctors in timely diagnosis of diabetes and hepatitis}, Keywords = {Clinical Decision Support Systems, Diagnosis of disease, Diabetes mellitus, Hepatitis, Particle pool optimization algorithm, Firefly algorithm}, volume = {6}, Number = {1}, pages = {32-45}, publisher = {دانشگاه علوم پزشکی کرمان}, url = {http://jhbmi.ir/article-1-326-en.html}, eprint = {http://jhbmi.ir/article-1-326-en.pdf}, journal = {Journal of Health and Biomedical Informatics}, issn = {2423-3870}, eissn = {2423-3498}, year = {2019} } @article{ author = {Elahi, Abdolkarim and Babamir, Seyed Mortez}, title = {A Combination Method of Centrality Measures and Biological Properties to Improve Detection of Protein Complexes in Weighted PPI Networks}, abstract ={Introduction: In protein-protein interaction networks (PPINs), a complex is a group of proteins that allows a biological process to take place. The correct identification of complexes can help better understanding of the function of cells used for therapeutic purposes, such as drug discoveries. One of the common methods for identifying complexes in the PPINs is clustering, but this study aimed to identify a new method for more accurate identification of complexes. Method: In this study, Yeast and Human PPINs were investigated. The Yeast datasets, called DIP, MIPS, and Krogan, contain 4930 nodes and 17201 interactions, 4564 nodes and 15175 interactions, and 2675 nodes and 7084 interactions, respectively. The Human dataset contains 37437 interactions. The proposed and well-known methods have been implemented on datasets to identify protein complexes. Predicted complexes were compared with the CYC2008 and CORUM benchmark datasets. The evaluation criteria showed that the proposed method predicts PPINs with higher efficiency. Results: In this study, a new method of the core-attachment methods was used to detect protein complexes enjoying high efficiency in the detection. The more precise the detection method is, the more correct we can identify the proteins involved in biological process. According to the evaluation criteria, the proposed method showed a significant improvement in the detection method compared to the other methods. Conclusion: According to the results, the proposed method can identify a sufficient number of protein complexes, among the highest biological significance in functional cooperation with proteins.  }, Keywords = {Protein complexes, Protein interaction network, Centrality measures, Essential protein, Core-attachment Algorithm}, volume = {6}, Number = {1}, pages = {46-58}, publisher = {دانشگاه علوم پزشکی کرمان}, url = {http://jhbmi.ir/article-1-341-en.html}, eprint = {http://jhbmi.ir/article-1-341-en.pdf}, journal = {Journal of Health and Biomedical Informatics}, issn = {2423-3870}, eissn = {2423-3498}, year = {2019} } @article{ author = {Bamdad, Korosh and Dadfar, Fereshteh and Eshraghi, Shahnaz}, title = {Bioinformatics Study of the Effect of Brain-derived Neurogenic Factor (BDNF) on Gene Expression in SH-SY5Y Cell Line}, abstract ={Introduction: Considering the importance of the evaluation and identification of BDNF protective pathways, this study was conducted to analyze the expression rate of genes registered in the NCBI database to identify the genes expressed in SH-SY5Y cell line due to BDNF protection and oxidative stress and also to identify the protective pathways of BDNF. Method: In this study, bioinformatics and NCBI databases and libraries including 48000 datasets were explored and data were collected using Illumina and Bid studio software. In the first phase, sampling was performed manually based on the P-value, and in the second phase, based on the relationship with compatibility of neurons, the Pearson correlation coefficient, Spearman's correlation coefficient, and linear relationship  were calculated by measuring fit or regression using SPSS version 20. Results: The Pearson correlation between CMP and CTR data was positive; and the linear regression between them was also positive. The frequency percentage of neuron adapter proteins obtained from CTR data was higher than that from CMP data; and a great number of protective proteins were related to the protection of cell shape and cellular skeleton, and neuron survival. Conclusion: Due to the contact of neurons with BDNF, some genes are specifically expressed, therefore, BDNF can increase the life and compatibility of neurons.}, Keywords = { Neuron, Brain-derived neurogenic factor, SH-SY5Y, NCBI}, volume = {6}, Number = {1}, pages = {59-67}, publisher = {دانشگاه علوم پزشکی کرمان}, url = {http://jhbmi.ir/article-1-342-en.html}, eprint = {http://jhbmi.ir/article-1-342-en.pdf}, journal = {Journal of Health and Biomedical Informatics}, issn = {2423-3870}, eissn = {2423-3498}, year = {2019} } @article{ author = {Hemmat, Morteza and Ayatollahi, Haleh and Maleki, Mohammadreza and Saghafi, Fatemeh}, title = {A Review of Future Studies in the Field of Health Information Technology}, abstract ={Introduction: In order to adopt the right technologies, policy makers should have adequate information about the present and future advances. This study aimed to review future studies in the field of health information technology. Method: This review study was conducted in 2015. The databases including Scopus, Web of Science, ProQuest, Ovid Medline, and PubMed were sought between 2000 and 2015. Results: 11 papers were selected for the study. The papers were divided into two groups: forecasting the future of health information technology (n=7) and health information technology foresight (n=4). According to the results, it is better to use foresight approach for big and long-term goals. Conclusion: The results of foresight studies can be useful for making decision and policy-making in the field of health information technology, particularly at the national level.}, Keywords = {Health information technology, Foresight, Forecast, Decision making, Policy making}, volume = {6}, Number = {1}, pages = {68-77}, publisher = {دانشگاه علوم پزشکی کرمان}, url = {http://jhbmi.ir/article-1-305-en.html}, eprint = {http://jhbmi.ir/article-1-305-en.pdf}, journal = {Journal of Health and Biomedical Informatics}, issn = {2423-3870}, eissn = {2423-3498}, year = {2019} } @article{ author = {Yazdani, Azita and GhaziSaeedi, Marj}, title = {The Necessity of Integration of Internet of Things and Fog Computing for Providing Safe Healthcare Services}, abstract ={This article has no abstract.}, Keywords = {Fog computing,Cloud computing}, volume = {6}, Number = {1}, pages = {78-79}, publisher = {دانشگاه علوم پزشکی کرمان}, url = {http://jhbmi.ir/article-1-325-en.html}, eprint = {http://jhbmi.ir/article-1-325-en.pdf}, journal = {Journal of Health and Biomedical Informatics}, issn = {2423-3870}, eissn = {2423-3498}, year = {2019} } @article{ author = {SadeqiJabali, Monireh and Nabovati, Ehsan and Farzandipour, Mehrdad and Farrahi, Seyedeh Raziyeh and Abbasi, Rez}, title = {Evaluation of the Usability of Admission and Medical Record Information System: A Heuristic Evaluation}, abstract ={Introduction: Admission and medical record system (AMRS) is one of the most important subsystems of hospital information system, which is used by many users in admission, discharge, and health information management. Interface usability problems can reduce user speed, precision, and efficiency in user-system interaction. This study aimed to identify the usability problems of AMRS in a hospital information system. Method: In this descriptive cross-sectional study, five health information technology experts evaluated AMRS in a hospital information system using heuristic evaluation. Then, the system usability problems were categorized according to Nielsen's 10 usability principles and their severity were determined. Results: Totally, 62 unique usability problems were detected. The most frequent problems were related to "consistency and standards" (n=9) and ''recognition rather than recall" (n=9), and the least frequent ones was related to "flexibility and efficiency of use" (n=1). 59.7% of the identified problems were categorized as big and severe problems. The highest average severity of problems belonged to "system’s visibility" and "aesthetic and minimalist design", and the least average severity belonged to "error prevention". Conclusion: Using heuristic evaluation, a large number of usability problems in AMRS were identified. According to experts' opinions, most of the HIS interface problems were big and severe, and they need to be modified by designers and developers of these systems.}, Keywords = {Hospital information system, Admission and medical record system, Usability, Heuristic evaluation, User interface}, volume = {6}, Number = {2}, pages = {80-89}, publisher = {دانشگاه علوم پزشکی کرمان}, url = {http://jhbmi.ir/article-1-351-en.html}, eprint = {http://jhbmi.ir/article-1-351-en.pdf}, journal = {Journal of Health and Biomedical Informatics}, issn = {2423-3870}, eissn = {2423-3498}, year = {2019} } @article{ author = {Rezayi, Sorayya and Safaei, Ali Asghar and Mohammadzadeh, Niloofar}, title = {Requirements for Designing a Wearable Smart Blanket System for Monitoring Patients in Ambulance}, abstract ={Introduction: Nowadays, smart systems and advanced tools such as wearable systems have grown significantly in order to monitor patients and keep their condition under control. The aim of this study was to determine the requirements for designing a wearable smart blanket system (WSBS) to monitor patients in ambulance instantaneously. Method: After reviewing the characteristics of wearable systems by conducting a comparative study, the requirements for designing the proposed system were determined using appropriate data collection methods. In the first step, studies were conducted to identify the requirements for the development of wearable systems, and in the second step, a questionnaire obtained from the studies was distributed among specialists, and based on the results obtained from the questionnaire, the requirements for designing the system were determined. Results: Wearable Smart Blanket System (WSBS) has special functional features such as monitoring of vital signs, ability to communicate with the environment, instantaneous processing of vital signs, the ability to alert when vital signs exceed the threshold, and the ability to record all the patients' vital signs. The main non-functional features of WSBS include easy installation and operation, interoperability, error tolerance, low power consumption, accuracy of signs recording, data evaluation and analysis. Conclusion: The WSBS records all the vital signs needed for the control of patients seamlessly and provides interpreted data for the ambulatory treatment team. All patients' medical, diagnostic, and monitored health information are stored in the physician assistants' system, and therefore, allows them to provide early diagnosis.}, Keywords = {Monitoring vital signs, Wearable systems, Wearable smart blanket requirements, Smart sensors and fibers}, volume = {6}, Number = {2}, pages = {90-100}, publisher = {دانشگاه علوم پزشکی کرمان}, url = {http://jhbmi.ir/article-1-332-en.html}, eprint = {http://jhbmi.ir/article-1-332-en.pdf}, journal = {Journal of Health and Biomedical Informatics}, issn = {2423-3870}, eissn = {2423-3498}, year = {2019} } @article{ author = {Aghaenjad, Ehsan and Taimourei-Yansary, Ramazan and Riahi, Ali}, title = {A Hybrid Model of Heart Anomalies Detection by Processing Heart Sounds}, abstract ={​Introduction: Different factors are effective in detecting heart abnormalities. The greater the number of these factors, the greater the uncertainty in the detection of heart abnormalities. In the uncertainty condition in response of prediction model, the fuzzy systems are one of the most effective methods for generating an acceptable response. Method: In this applied study, 3240 records related to heart abnormalities were reviewed, each record contained heart sounds of healthy and unhealthy groups. Then, using fuzzy system, the rules of data for the input samples were extracted and the rules were used to categorize the heart abnormalities. Due to the dependency of the effective factors on heart abnormalities, many identical rules with a similar function that result in additional processing and reduced efficacy, will be produced. In the proposed method, the Hummingbird algorithm were used to choose the optimal output rules. Then, using the optimum output rules, the inputs data were categorized into normal and abnormal classes. Data were analyzed using the root mean squared error (RMSE) method. Results: It was revealed that the mean accuracy and time of diagnosis of heart abnormalities in the proposed method were 99.6% and 0.56 seconds, respectively, indicating higher efficiency compared to the other similar studies. Conclusion: Compared to the other methods, the proposed model provides more accurate diagnosis and classification.}, Keywords = {Cardiac abnormalities, Heart rate processing, Fuzzy systems, Hummingbird algorithm}, volume = {6}, Number = {2}, pages = {101-110}, publisher = {دانشگاه علوم پزشکی کرمان}, url = {http://jhbmi.ir/article-1-278-en.html}, eprint = {http://jhbmi.ir/article-1-278-en.pdf}, journal = {Journal of Health and Biomedical Informatics}, issn = {2423-3870}, eissn = {2423-3498}, year = {2019} } @article{ author = {MahmoudzadehSagheb, Zahra and Bastani, Peivand and Samadbeik, Mahnaz and Bayati, Baran and Bordbar, Arash}, title = {Functional Requirements of the Pharmacy Information Systems from the Pharmacists\' Perspective: A Qualitative Approach}, abstract ={Introduction: In the field of studying information systems, qualitative approach is one of the ways to extract the system requirements from the perspective of the users. Therefore, this study was performed to identify the functional requirements of the pharmacy information system from the perspective of the pharmacists using a qualitative approach. Method: This qualitative study was performed using conventional content analysis approach. In this study, 15 pharmacists who worked at hospitals affiliated to Fars University of Medical Sciences, were selected using purposive sampling. The data were collected through semi-structured interviews (30-40 min) in 2016. Data were analyzed using Graneheim and Lundman's method by MAXQDA v.10 software. Lincoln and Guba's criteria were used to ensure the accuracy and trustworthiness of the study Results: After analysis of the data obtained from interviews, five main categories and 13 subcategories were obtained. The main categories include the ability to accurately reconcile medication lists (medication reconciliation), update and flexible reporting, systems interoperability, integration with the decision support system, and access to the clinical information. Conclusion: According to the results, evaluation of the systems before purchase and comparing them with the expected functional requirements of the users, are necessary. Also, in the case of intraorganizational design of these systems, skilled analysts who are familiar with health organizations should be employed to extract the users' needs.}, Keywords = {Pharmacy information system, Functional requirement, Qualitative research}, volume = {6}, Number = {2}, pages = {111-120}, publisher = {دانشگاه علوم پزشکی کرمان}, url = {http://jhbmi.ir/article-1-344-en.html}, eprint = {http://jhbmi.ir/article-1-344-en.pdf}, journal = {Journal of Health and Biomedical Informatics}, issn = {2423-3870}, eissn = {2423-3498}, year = {2019} } @article{ author = {Dehghan, Alireza and Sadeghzadeh, Marzieh and Badie, Ali and Mardani, Mohammadreza and Bafandkar, Fatemeh}, title = {Investigation of the Factors Affecting the Physicians\' Acceptance of Mobile Health Services}, abstract ={Introduction: The combination of mobile technology and medical expertise introduces a new feature called mobile health care, which provides new opportunities for improving patients' health. Physician's acceptance of mobile health services is an important factor in the establishment and adaption of such services. The present study investigated the factors affecting the acceptance of health services by physicians. Method: In this descriptive-analytic study, 150 physicians working in Shiraz and Kazeroun were included using cluster sampling. Data were collected using questionnaires adapted from other studies. The validity and reliability of the questionnaires were confirmed. Data were analyzed using Structural Equation Modeling (SEM) by Amos version 21 and SPSS version 23 software. Results: The effect of technology anxiety, adaption and resistance against change on perceived usefulness was significant. In addition, the effect of self-usefulness, adaptability, social norms, and resistance against change on perceived usefulness was significant. Moreover, parameters affected the intention to use via mediating variables of usefulness and perceived usefulness. The final research model had good fit indices. Conclusion: According to the results, policymakers are recommended to take into account the five factors mentioned in this study, which are related to the acceptance of systems investigated here, for promoting an appropriate culture for the adaption of mobile health services by physicians.}, Keywords = {Mobile health services, Technology acceptance model (TAM), Physicians' acceptance}, volume = {6}, Number = {2}, pages = {121-130}, publisher = {دانشگاه علوم پزشکی کرمان}, url = {http://jhbmi.ir/article-1-356-en.html}, eprint = {http://jhbmi.ir/article-1-356-en.pdf}, journal = {Journal of Health and Biomedical Informatics}, issn = {2423-3870}, eissn = {2423-3498}, year = {2019} } @article{ author = {Mehrolhassani, Mohammad Hossein and Vali, Leila and Ghanbarnejad, Mahtab and Moein, Hami}, title = {Evaluation of the Client Patients Waiting Time in Referral Restorative Dentistry Department of Dental Clinic Using Six Sigma Model}, abstract ={Introduction: Waiting time is one of the factors affecting patients' satisfaction with the quality of services, therefore, reducing the waiting time has an essential role in the improvement of services and clients' satisfaction. The present study was performed to study the client patients waiting time in referral restorative dentistry department of dental clinic using Six Sigma model. Method: In this descriptive study, 300 patients who referred to the restorative dentistry department of dental clinic, were included. Finally, 30 subjects were selected using random sampling method. Data were collected by waiting time measurement forms and researcher-made checklists. To determine the process quality, six sigma model was used. Finally, data were analyzed using SPSS version 16. Results: The highest mean waiting time belonged to the oral diseases department (mean=31 min) and the lowest one belonged to the examination unit of restorative dentistry department (mean=15 min). The most important factors extending the waiting time were simultaneous entrance of patients (mean=4.6 min), lack of medical students' skill and experience (mean=4.2 min), lack of employees and integration of reception unit with cash desk (mean=4 min), respectively.   Conclusion: Therefore, by analyzing reception process, appropriate management, and using Six Sigma model, waiting time will reduce, clients' satisfaction will increase, and the quality of services will improve.  }, Keywords = {Waiting time, Six Sigma, Client patients, Providers}, volume = {6}, Number = {2}, pages = {131-139}, publisher = {دانشگاه علوم پزشکی کرمان}, url = {http://jhbmi.ir/article-1-285-en.html}, eprint = {http://jhbmi.ir/article-1-285-en.pdf}, journal = {Journal of Health and Biomedical Informatics}, issn = {2423-3870}, eissn = {2423-3498}, year = {2019} } @article{ author = {Karimi, Gholamreza and Ranjbar, Mohammad Mehdi and Ahmadi, Naebali and Yazdansetad, Sajj}, title = {Analysis and Professional Designing of COBRA (Computationally Optimized Broadly Reactive Antigen) Vaccine for Bm86 midgut Protein of R. microplus and R. annulatus Ticks}, abstract ={Introduction: The cattle tick Rhipicephalus spp. causes significant economic losses due to diseases in animals and human. Bm86 is a midgut protein and vaccine candidate, which its sequences among the isolates of Ripsephalus spp are geographically separated, variable, and are the main reason for reducing effectiveness, and subsequently, the failure of the recombinant vaccines. Method: In this bioinformatics study, the sequences of R. microplus and R. annulatus were retrieved, aligned, and edited. Then, the variation plot and phylogenetic tree were constructed. Afterwards, grouping and taxa marking for designing evolutionary vaccine, COBRA antigen, center of tree and ancestral were done. Also, over COBRA vaccine sequences, modeling analysis and superimpose test were done. Results: In both R. microplus and R. annulatus, the most variable region were residues 177-181, 270-276, and 351-352, respectively. 6 sequences were selected as appropriate sequences for design of evolutionary vaccine, and 12 for the realignment of and achieving sequences for design of COBRA antigen. On the other hand, R. annulatus sequences were in sister branches and more similar to each other compared to Bm86 protein sequences in R. microplus except ADQ19687. The sequences selected for vaccine design based on the center of tree and ancestral, were AJE29931, AJE29932, and ATW75472, and ATW5476, ADM86722, ACZ55133 sequences, respectively. Conclusion: Anti-tick COBRA-based vaccines of Bm86 could be more cost-effective and better alternative with broader spectrum, compared to the commonly used recombinant vaccines.}, Keywords = {Rhipicephalus, Microplus, Annulatus, Vaccine, COBRA}, volume = {6}, Number = {2}, pages = {140-151}, publisher = {دانشگاه علوم پزشکی کرمان}, url = {http://jhbmi.ir/article-1-378-en.html}, eprint = {http://jhbmi.ir/article-1-378-en.pdf}, journal = {Journal of Health and Biomedical Informatics}, issn = {2423-3870}, eissn = {2423-3498}, year = {2019} } @article{ author = {Tabari, Parinaz and Kiani, Behz}, title = {An Overview on the Applications of Spatial Analyses in the Management and Allocation of Hemodialysis Services}, abstract ={Introduction: The prevalence of Chronic Kidney Disease (CKD) reached about 13.4% in 2016. Among available treatment methods, hemodialysis is the most common way used for the treatment of patients with End-Stage Renal Disease (ESRD), the last stage of CKD. On average, these patients refer to hemodialysis centers three times a week. The high patients referral rate indicates the importance of proper management and planning as well as the optimal and efficient allocation of hemodialysis resources. Method: This overview study was conducted to investigate the applications of spatial analyses in the management and allocation of hemodialysis resources. By designing a search strategy, related articles indexed in the MEDLINE database, were reviewed. Results: Studies related to spatial analysis in the field of hemodialysis can be categorized into three groups including: 1) measurement of access to hemodialysis centers, 2) relationship between access to these centers and mortality as well as patients' quality of life, and 3) allocation of hemodialysis resources in a geographical area. Conclusion: Spatial analysis as a geographical information system-based methodology, can be used for analyzing data associated with hemodialysis centers to optimize resources management and help policymakers to make better informed decisions in this area. Most of the studies investigated the access to hemodialysis centers and the relationship between access to these centers and mortality as well as the patient's quality of life. However, few studies have been conducted on the optimal allocation of hemodialysis resources in a geographical area.}, Keywords = {Hemodialysis, Spatial analysis, Resource allocation, Resource management, Geographical information system}, volume = {6}, Number = {2}, pages = {152-162}, publisher = {دانشگاه علوم پزشکی کرمان}, url = {http://jhbmi.ir/article-1-357-en.html}, eprint = {http://jhbmi.ir/article-1-357-en.pdf}, journal = {Journal of Health and Biomedical Informatics}, issn = {2423-3870}, eissn = {2423-3498}, year = {2019} } @article{ author = {SamadiAvansar, Sajad and Niazkhani, Zahra and MirzaTolouei, Fardin and Afshar, Ahmad Reza and Pirnejad, Habibollah}, title = {Design, Implementation, and Applicability Evaluation of Hip and Knee Arthroplasty Registry}, abstract ={Introduction: Arthroplasty is a major orthopedic operation with an increasing rate. The success of this operation can significantly reduce patients’ pain and disabilities. This study aimed to design a registry system for hip and knee arthroplasties. Method: A comprehensive search was conducted to retrieve minimum data set from articles, guidelines, forms and reports published by orthopedic societies. Then, orthopedists were interviewed and medical records were evaluated for system requirements. After thematic analysis of the qualitative data, the intended system’ requirements were extracted. A system was designed following the "Information System Development Life Cycle and Object-Oriented" approach. The system prototype was developed by Python programming language and PostgreSQL Data Base Management System. Then, the usability of the system and user satisfaction were tested. Quantitative data were analyzed using descriptive statistics and through thematic and quantitative approaches. Results: The required dataset and processes were extracted based on evaluating nine arthroplasty registries of pioneer countries as well as our local needs and requirements. The result was a minimum dataset comprising of 39 elements in 5 groups. They were used for developing the arthroplasty registry forms for hip and knee. The system was considered applicable and useful by potential users. Conclusion: An arthroplasty registry system was developed successfully. This system can provide a ground base for healthcare policymakers as well as the members of orthopedic society for planning a good quality care for arthroplasties.}, Keywords = {Arthroplasty, Registry, Hip Arthroplasty, Knee Arthroplasty, Orthopedics Operation, Information Technology}, volume = {6}, Number = {3}, pages = {163-177}, publisher = {دانشگاه علوم پزشکی کرمان}, url = {http://jhbmi.ir/article-1-339-en.html}, eprint = {http://jhbmi.ir/article-1-339-en.pdf}, journal = {Journal of Health and Biomedical Informatics}, issn = {2423-3870}, eissn = {2423-3498}, year = {2019} } @article{ author = {Seifallahi, Mahmoud and Soltanizadeh, Hadi and HassaniMehraban, Afsoon and Khamseh, Fatemeh}, title = {Detection of Alzheimer’s Disease in Elder People Using Gait Analysis and Kinect Camera}, abstract ={Introduction: Gait analysis through using modern technology for detection of Alzheimer's disease has found special attention by researchers over the last decade. In this study, skeletal data recorded with a Kinect camera, were used to analyze gait for the purpose of detecting Alzheimer's disease in elders. Method: In this applied-developmental experimental study, using a Kinect camera, data were collected for 12 elderly women with Alzheimer's disease and 12 healthy elderly women walking in an oval path. After extracting various features of gait, descriptive analysis was performed to compare the features between the healthy and patient groups. Then, a support vector machine classifier was designed to detect elderly people with Alzheimer's disease. Results: The comparison of extracted features from skeletal data of gait using Kinect camera in this study indicate that the results are matched with previous findings from systems based on other types of sensors. The accuracy, sensitivity, precision and specificity of system designed in the present study for classifying elders with Alzheimer's disease and healthy elders were 91.25%, 93.4484%, 90.5945% and 93.581% respectively. Conclusion: In addition to descriptive analysis of gait, by using machine learning methods such as support vector machine classifier, elderly people with Alzheimer's disease can be detected based on features extracted from skeletal data of Elderly people.}, Keywords = {Alzheimer Disease, Detection, Gait, Kinect Camera, Classification}, volume = {6}, Number = {3}, pages = {178-196}, publisher = {دانشگاه علوم پزشکی کرمان}, url = {http://jhbmi.ir/article-1-374-en.html}, eprint = {http://jhbmi.ir/article-1-374-en.pdf}, journal = {Journal of Health and Biomedical Informatics}, issn = {2423-3870}, eissn = {2423-3498}, year = {2019} } @article{ author = {Jannati, Nazanin and Salmanizadeh, Farz}, title = {Healthcare Providers’ Awareness and Practice on Electronic Mental Health Interventions for Depression and its’ Utilization Barriers}, abstract ={Introduction: E-mental health interventions can be effective in the early diagnosis and treatment of mental problems such as depression. Therefore, the present study aimed to evaluate the awareness and practice of health care providers on E-mental health interventions and its’ utilization barriers. Method: This descriptive study was conducted in Kerman in 2018. The research population consisted of family physicians, psychologists and health care providers in health care centers who were selected through systematic random sampling. Data collection tool was a valid and reliable researcher-made questionnaire consisting of two parts of demographic questions and items related to awareness, usage, and barriers of using E-mental health interventions. Spearman, Kendall, and Chi square tests were used to analyze the data. Results: A total number of 143 people participated in this study of whom, 69% had not used E-mental health interventions so far and only 9% had been trained in these interventions. In regard to E-mental health interventions, psychological training (24%) and peers’ support by using online discussion forums (17%) gained the highest rates of use among participants and in regard to barriers of implementing and using these interventions, clinical risks (97%) and unwillingness of patient and physician in using electronic interventions (88%) gained the highest rates. Conclusion: In general, health care providers’ awareness and practice on E-mental health interventions were low. Therefore, identifying and prioritizing these barriers can help to enhance the capabilities of these technologies and to promote their use.    }, Keywords = {Mental health, Depression, E-mental health, electronic interventions, Technology, Healthcare providers}, volume = {6}, Number = {3}, pages = {197-206}, publisher = {دانشگاه علوم پزشکی کرمان}, url = {http://jhbmi.ir/article-1-402-en.html}, eprint = {http://jhbmi.ir/article-1-402-en.pdf}, journal = {Journal of Health and Biomedical Informatics}, issn = {2423-3870}, eissn = {2423-3498}, year = {2019} } @article{ author = {Jamali, Zahra and KhodabakhshiKoolaee, Anahit}, title = {The Effect of Training Flow Chart Behavioral Management Program by Mobile to Mothers of Children with Oppositional Defiant Disorder for Reducing Oppositional and Hyperactivity Symptoms: one-single sample experimental study}, abstract ={Introduction: Opposition and hyperactivity are among behaviors of children with Oppositional Defiant Disorder (ODD). Nowadays, due to the changes in life style and busy life, direct referring to health provider is difficult. Therefore, the present study was done to examine the effectiveness of training behavior management flowchart by mobile to mothers for reducing oppositional and hyperactivity symptoms in children with oppositional defiant disorder. Method: This research was done in Tehran/ Iran in 2018 and through single case experiment by A-B model. Four mothers whose children had gained high scores of ODD were selected for training in eighth sessions of 60-90 minutes. Mothers received the training program of behavior management for six virtual sessions through mobile phone and two in person sessions. Data were analyzed using chart, improve percent and RCI. Results: The overall improvement was 61.43% for defiant and 69.74% for hyperactivity. In one-month follow up, both mentioned variables improved (75.77% and 79.47% respectively). According to the results, the two hypotheses were clinically significant. Conclusion: The mobile health technology is a low cost, available, and suitable method for mental health services and can be used as a complementary health service for mothers who have a child with oppositional defiant disorder.}, Keywords = {Behavioral management, Mobile health, Mother, Child, Oppositional Defiant Disorder (ODD)}, volume = {6}, Number = {3}, pages = {207-217}, publisher = {دانشگاه علوم پزشکی کرمان}, url = {http://jhbmi.ir/article-1-386-en.html}, eprint = {http://jhbmi.ir/article-1-386-en.pdf}, journal = {Journal of Health and Biomedical Informatics}, issn = {2423-3870}, eissn = {2423-3498}, year = {2019} } @article{ author = {Taji, Maedeh and Ayat, Saee}, title = {Diagnosis of Diabetic Retinopathy Using Processing of Fundus Images and Morphological Techniques}, abstract ={Introduction: Diabetic retinopathy is the damaging effect of diabetes on retinal blood vessels that can cause blindness when diagnosed late. Microaneurysms are early signs of the disease that their early diagnosis promotes timely treatment and prevents disease progression. Since this disease is asymptomatic and can only be detected by ophthalmologists, diabetic patients should be tested regularly. On the other hand, given the fact that the increase rate of the number of ophthalmologists is less than the growth of the diabetic population, manual diagnosis of the lesion is time consuming and costly, and thus the design of automatic detection systems is essential. Method: In this descriptive analytic study, the fundus images of the retina were subjected to preprocessing. Then, the candidate regions of microanurysms were determined using the metric and morphological operators Bottom-hat and Hit-or-Miss. In the next step, using principal component analysis, the specificity of main feature of real microanurysms diagnosis was extracted. The DiaRetDB1 database images were used to evaluate the proposed algorithm. Results: The purpose of this research was to develop an automated method for the detection of microanurysms that can help ophthalmologists in the process of diabetic retinopathy screening and diagnosing the symptoms faster, easier and at lower cost. In evaluation, the proposed method achieved a sensitivity of 87.6%, specificity of 98.7% and the precision of 85.7%. Conclusion: According to the results obtained based on evaluation parameters, the proposed method is one of the most accurate algorithms in this field.}, Keywords = {Diabetic retinopathy, Fundus images, Microaneurysms, Morphological techniques, Principal Component Analysis}, volume = {6}, Number = {3}, pages = {218-230}, publisher = {دانشگاه علوم پزشکی کرمان}, url = {http://jhbmi.ir/article-1-361-en.html}, eprint = {http://jhbmi.ir/article-1-361-en.pdf}, journal = {Journal of Health and Biomedical Informatics}, issn = {2423-3870}, eissn = {2423-3498}, year = {2019} } @article{ author = {Hashemipour, Maedeh and Khorrami, Farid and Ansari, Mehri and Baniasadi, Tayebeh and Davari, Nasrin and Shahi, Mehrab}, title = {The Quality of Coding Medical Records of Cancer Patients Based on ICD-10 in Hospitals of Hormozgan University of Medical Sciences}, abstract ={Introduction: The aim of this study was to determine the status of ICD-10 codes assigned to cancer patients' medical records in terms of three attributes of accuracy, completeness, and timeliness. Method: in this cross-sectional descriptive study, 374 medical files with C00-D48 diagnosis codes were selected through stratified sampling. Data gathering tool was a researcher-made checklist consisted of clinical information summary, codes assigned by assistant professors and coders, the review and comparison of the codes, the results obtained from the control of codes by ICD-10 and the errors extracted from coders’ codes. The factors affecting the occurrence of coding errors at different levels and their impact on the accuracy and completeness of the codes were classified. Results: Totally, coding errors were observed in 79 cases (21.74%). differences in codes at the level of the chapter were due to not following the rules for choosing the main diagnosis (30 cases) and inadequate study of the records (38 cases). In terms of completeness, in 27 cases (7.43%), codes assigned by coders were defective compared to assistant professors’ codes. In relation to the timeliness, in accordance with the WHO standard, coding was done within 48 hours of the patient's discharge. Conclusion: According to the results, coding quality is not only dependent on the coders, but also on other factors such as documentation defect. Therefore, continuous training for both coders and documenters is necessary to resolve defects, especially in the field of cancer. It is also recommended to use the results of this study for planning related workshops.}, Keywords = {Coding, Classification, Cancer, Cancer registry, Quality}, volume = {6}, Number = {3}, pages = {231-242}, publisher = {دانشگاه علوم پزشکی کرمان}, url = {http://jhbmi.ir/article-1-379-en.html}, eprint = {http://jhbmi.ir/article-1-379-en.pdf}, journal = {Journal of Health and Biomedical Informatics}, issn = {2423-3870}, eissn = {2423-3498}, year = {2019} } @article{ author = {Hoseini, Zahra and Moayedi, Fatemeh and Dashti, Ebrahim}, title = {Evaluation and Prediction of the Impact of Parasite Waves and Cell Phone Use by Pregnant Mothers on the Volume of Amniotic Fluid based on Data Mining Algorithms}, abstract ={Introduction: Nowadays, the effects of radiation and constant use of cell phones have led to some problems. These radiations cause disorders in different systems of human body and even in a growing fetus. The aim of this study was to find the effect of using cell phone and internet by pregnant women on the amount of amniotic fluid. Method: First, a questionnaire was designed and evaluated by obstetricians and telecommunication specialists. The questionnaire includes questions regarding the amount of using cell phone, internet and Wi-Fi during a day. After data collection and preprocessing with predictive Apriori algorithm, the effective factors on the amount of amniotic fluid were investigated and proper associative rules were extracted. The next phase is dedicated to predicting the risks of decreased amniotic fluid by classification algorithms. Results: Early awareness of doctors as well as the patient can cause avoiding this problem through some related life style changes by mothers. SVM algorithm was successful in arriving at the best results with 80% accuracy. Conclusion: The most important rule showed that more than 6 hours cell phone conversation, more than 4 hours internet use and more than 8 hours Wi-Fi use by pregnant women can definitely decrease the amount of amniotic fluid. Also, the proposed method, using different classification algorithms, can predict the risk of decreasing the amount of amniotic fluid in pregnant mothers.}, Keywords = {Oligohydramnios, Cell phone radiation, Association Rule Mining, Support Vector Machine, Prediction}, volume = {6}, Number = {3}, pages = {243-254}, publisher = {دانشگاه علوم پزشکی کرمان}, url = {http://jhbmi.ir/article-1-355-en.html}, eprint = {http://jhbmi.ir/article-1-355-en.pdf}, journal = {Journal of Health and Biomedical Informatics}, issn = {2423-3870}, eissn = {2423-3498}, year = {2019} } @article{ author = {Saeinia, Amir Hossein and Taghizadeh, Mohammad and Alavi, Seyed Mehdi}, title = {Investigating Dynamic Properties of Residues of Warfarin-Azapropazone Binding Site in Human Serum Albumin}, abstract ={Introduction: Human Serum Albumin (HSA) is one of the most important proteins in blood that can bind a wide range of components and different drugs such as Warfarin and is also circulated in the body by HSA. Therefore, studying HSA is very significant in pharmacology. In this research, dynamic behavior of residues of Warfain binding site of HSA has been investigated. Methods: Firstly, PDB format of HSA was downloaded from RCSB (PDB ID:2BX8) which was in complex with Azapropazone. After that, molecular dynamics simulation was during 30ns by GROMACS package. CHIMERA software was used to discover residues of binding site. Results: After RMSD analysis was done on residues of binding site, it was seen that Arginines 186 and 218 have a wide fluctuations in their RMSD plot. Also, two Lysines 185 & 190 have nearly wide fluctuations of RMSD, this fluctuations were less than Arginine's, however. Other residues such as Glycine 189 have few fluctuations. Fluctuations in RMSD have direct relationship with accessible surface area (ASA) of the residues. Conclusions: The results show that the Warfarin binding site in HSA can have various conformational situations because of the dynamics of its residues.  This problem can be important to drug design. Overall, according to the results in this study, residues have been divided into 3 categories. Among them, Tryptophan 214 according to different articles is one of the most important residues site and based on our result, it stays on category of small mobility. }, Keywords = {Human Serum Albumin, Molecular Dynamics simulation, Sudlow site I, Azapropazone, RMSD}, volume = {6}, Number = {3}, pages = {255-263}, publisher = {دانشگاه علوم پزشکی کرمان}, url = {http://jhbmi.ir/article-1-388-en.html}, eprint = {http://jhbmi.ir/article-1-388-en.pdf}, journal = {Journal of Health and Biomedical Informatics}, issn = {2423-3870}, eissn = {2423-3498}, year = {2019} } @article{ author = {Farsadhabibi, Haleh and Langarizadeh, Mostafa and AlaviMoghadam, Mostaf}, title = {A Minimum Data Set of Educational Self-care Software for Patients with Cirrhosis}, abstract ={Introduction: Liver cirrhosis has grown significantly in Asian countries over the last few years. However, there is no tool for collecting liver cirrhosis data. The purpose of this study was to design a minimum data set for the self-care education of liver cirrhosis. Methods: This descriptive study was conducted in the first half of 2018 in cooperation with 16 liver specialists of Rasool Akram Hospital and Firoozgar Hospital in Tehran. The research tool was a researcher-made questionnaire. The content validity method was used to validate the questionnaire and its reliability was confirmed through test-retest method (r = 0.84). Data were analyzed using SPSS21 software. Results: The minimum data set was organized in six categories: demographic, clinical, disease symptoms, dietary recommendations, general recommendations, medications and reminders. The demographic data collection consisted of 15 data elements, clinical data included 27 data elements, clinical symptoms included 9 data elements, food recommendations, consisted of 7 parts and 14 data elements, general recommendations consisted of 7 parts and 12 elements of data, and medications and reminders had two parts and 12 elements. Conclusion: Considering the importance of data and information in the self-care of patients with liver cirrhosis and the role of software in collecting and sharing data with physicians, as well as reducing the number of visits to the hospital, attention should be paid to the minimum data set of self-care in patients with liver cirrhosis.}, Keywords = {Data Minimum Set, Self-care, Cirrhosis}, volume = {6}, Number = {4}, pages = {264-271}, publisher = {دانشگاه علوم پزشکی کرمان}, url = {http://jhbmi.ir/article-1-316-en.html}, eprint = {http://jhbmi.ir/article-1-316-en.pdf}, journal = {Journal of Health and Biomedical Informatics}, issn = {2423-3870}, eissn = {2423-3498}, year = {2020} } @article{ author = {Mardani, Soheila and Rahman, Arash and Nafissi, Nahi}, title = {An Agent- based Modeling for Breast Tissue Simulation and the Growth and Spread of Tumor in Various Breast Cancer States}, abstract ={Introduction: Breast cancer is a cancer that is caused by abnormal growth of breast cells. Modeling  and simulation of the growth and treatment of breast cancer, along with providing the possibility of doing experiments and research, can reduce the time and cost of treatment by predicting some cases. The purpose of the present research was to develop an agent-based model for the simulation of breast tissue and the growth and spread of tumor in various breast cancer states. Method: In this research, agent-based modeling and simulation method, as well as library studies were used. NetLogo software was used for designing and modeling of breast anatomy and development of model with the required knowledge. Then, according to the patient's age, tumor grading and cancer cells spread, simulation of the growth and development of various breast cancer states in different times were investigated. In order to validate the model, clinical data and reports related to the age and grade, size, growth and spread of tumor in a number of patients with breast cancer were studied and considered and compared with model outcomes. Results: According to the experiments related to the analysis and validation of the model, the developed model had relatively acceptable results about the growth of breast tumors and the proliferation of cancerous cells in lymph nodes in various breast cancer states.  Conclusion: Agent-based modeling can be used as a relatively useful and efficient method in identifying and analyzing breast cancer behavior and predicting the growth and proliferation of cancer cells.}, Keywords = {Agent-based modeling, Breast cancer, Simulation of breast cancer}, volume = {6}, Number = {4}, pages = {272-287}, publisher = {دانشگاه علوم پزشکی کرمان}, url = {http://jhbmi.ir/article-1-410-en.html}, eprint = {http://jhbmi.ir/article-1-410-en.pdf}, journal = {Journal of Health and Biomedical Informatics}, issn = {2423-3870}, eissn = {2423-3498}, year = {2020} } @article{ author = {Soleimani, Mohsen and Nasiri, Ali}, title = {Heuristic Evaluation of Picture Archiving and Communication Systems (PACS)}, abstract ={Introduction: Poor User Interface design can be one of the probable reasons of users’ error and reduced incentive in using health information systems such as PACS. Heuristic evaluation is one the methods for assuring the proper user interface design of health information systems such as PACS. Method: This study was a descriptive-analytic research conducted in 2019 through using Nielsen usability checklist. The study setting was Zanjan University of Medical Sciences and data were analyzed in SPSS 25 using descriptive statistics. Results: In whole, 130 problems were found in 293 usability cases. The most common usability problems include privacy (66.66%), Visibility of System Status (65.52%), and Flexibility and Minimalist Design (60%) and the lowest number of UI design problems were associated with the Pleasurable and Respectful Interaction with the User (14.29%). Conclusion: Usability Evaluation can identify the reasons of problems that may cause medical errors or users' resistance in working with the system. Therefore, it is necessary for system developers whose systems are widely used in important centers to pay more attention to all standards in designing the system and to prevent the occurrence of errors.  }, Keywords = {Usability evaluation, Heuristic evaluation, Picture archiving and communication system (PACS), Radiology Information System}, volume = {6}, Number = {4}, pages = {288-297}, publisher = {دانشگاه علوم پزشکی کرمان}, url = {http://jhbmi.ir/article-1-416-en.html}, eprint = {http://jhbmi.ir/article-1-416-en.pdf}, journal = {Journal of Health and Biomedical Informatics}, issn = {2423-3870}, eissn = {2423-3498}, year = {2020} } @article{ author = {GhayoumiZadeh, Hossein and Fayazi, Ali and Danaeian, Mostafa and Saeidi, Alae}, title = {The Diagnosis of Brucellosis in Rafsanjan City Using Deep Auto-Encoder Neural Networks}, abstract ={Introduction: Brucellosis is considered as one of the most important common infectious diseases between humans and animals. Considering the endemic nature of brucellosis and the existence of numerous reports of human and animal cases of brucellosis in Iran, the incidence of human brucellosis in Rafsanjan city was determined in the last 3 years (2016–2018). The main objective of this study was to find an automated consistent and intelligent method with low sensitivity based on a neural network which is capable of accurate detection of brucellosis disease. Methods: In this descriptive analytic study, cases of human brucellosis in Rafsanjan, south of Iran, were analyzed based on sex, age, pregnancy, history of contact with livestock and the use of non-pasteurized dairy products, Right Laboratory parameters and 2ME during 3 years (2016–2018). Data were split into two subsets of train (80%) and test (20%). The artificial neural network approach of the deep auto-encoder was used to train each subset. Results: The deep auto-encoder method achieves 94.61% sensitivity, 90.84% accuracy and 50% specificity in the diagnosis of brucellosis over the experimental data sets. The experimental results also showed the excellent performance of the proposed artificial neural network. Conclusion: The deep artificial neural network model can be used as an efficient and intelligent method to detect the human cases of brucellosis. However, further studies are required to design other models of artificial neural networks based on deep learning to detect other infectious diseases.}, Keywords = {Human Brucellosis, Rafsanjan, Artificial neural network, Deep auto-encoder method}, volume = {6}, Number = {4}, pages = {298-308}, publisher = {دانشگاه علوم پزشکی کرمان}, url = {http://jhbmi.ir/article-1-364-en.html}, eprint = {http://jhbmi.ir/article-1-364-en.pdf}, journal = {Journal of Health and Biomedical Informatics}, issn = {2423-3870}, eissn = {2423-3498}, year = {2020} } @article{ author = {Sadeghi, Setayesh and Golabpour, Ami}, title = {An Algorithm for Predicting Recurrence of Breast Cancer Using Genetic Algorithm and Nearest Neighbor Algorithm}, abstract ={Introduction: Breast cancer is one of the most common types of cancer and the most common type of malignancy in women, which has been growing in recent years. Patients with this disease have a chance of recurrence. Many factors reduce or increase this probability. Data mining is one of the methods used to detect or anticipate cancers, and one of its most common uses is to predict the recurrence of breast cancer. Cases and Methods: Out of 699 patients with breast cancer, 458 (66%) of them did not relapse and 241 (34%) of their cancer recurred. This information was collected from 91 to 94 years of history of patients with breast cancer in the academic Jihad. In this study, the combination of two nearest neighboring algorithms and a genetic algorithm are proposed to predict the relapse of patients with breast cancer. First, the nearest neighboring algorithm is presented to predict the recurrence of breast cancer. Then, using the genetic algorithm, the dependent variables are reduced to make the model more appropriate. Results: The number of dependent variables is 14 variables, which is reduced by 6 genetic algorithms to better predict the model. To evaluate the model, the health parameter is used, which is 77.14% for the proposed model, which could not be more suitable for other methods. Conclusion: In this study, the proposed algorithm was examined with other predictive methods and it was determined that the proposed algorithm is better.}, Keywords = {Breast Cancer Recurrence, Genetic Algorithm, Nearest Neighbor Algorithm}, volume = {6}, Number = {4}, pages = {309-319}, publisher = {دانشگاه علوم پزشکی کرمان}, url = {http://jhbmi.ir/article-1-366-en.html}, eprint = {http://jhbmi.ir/article-1-366-en.pdf}, journal = {Journal of Health and Biomedical Informatics}, issn = {2423-3870}, eissn = {2423-3498}, year = {2020} } @article{ author = {EbrahimiTarki, Fatemeh and Bourbour, Mahsa and Zarrabi, Mahboobe}, title = {Design, Modeling and Computational Analysis of crRNA to Regulate MetastamiR-10b and MetastamiR-126 in Post-transcriptional Level by CRISPR-C2c2 (Cas13a) Technique}, abstract ={Introduction: Metastasis is one the most important causes of mortality in cancer patients. Recent studies have shown the metastatic potential of a specific group of microRNAs called metastamirs.  miR-126 is shown to be correlated with the colorectal liver metastasis. Also, overexpression of miR-10b has been reported in metastatic breast cancer.  Therefore, down regulation of these miRNAs at transcriptional level can reduce the probability of metastasis. This study analyzes targeting of miRNAs precursors using CRISPR-C2c2 (Cas13a) technique. Method: To conduct this study, we used bioinformatics and structural bioinformatics methods. The structure of C2c2 (Cas13a) enzyme was obtained from RCSB database, and the sequences of miRNAs and their precursors were collected from MirBase and Mirnamap. The crRNAs were designed, evaluated and checked for their specificity by using CRISPR-RT. The modeling of the three-dimensional structure of the designed crRNAs was performed by RNAbuilder 2.8.2 software. We used Hdock server to perform molecular docking to assess the energy level and the position of docked molecules.  Result: The crRNA designed for mir-126 showed high structural similarity with the situation observed in nature and appropriate orientation was obtained. In the case of crRNA designed to target mir-10b, despite high specificity, the correct orientation was not established. Conclusion: Sequence-based evaluation of crRNAs designed for RNA-level editing is insufficient, and it is recommended that, along with specificity, simulation and molecular docking studies, be performed for higher accuracy.  }, Keywords = {MetastamiR, CRIPSR-C2c2(Cas13a), Metastasis inhibition, CRISPR-RT, crRNA}, volume = {6}, Number = {4}, pages = {320-332}, publisher = {دانشگاه علوم پزشکی کرمان}, url = {http://jhbmi.ir/article-1-390-en.html}, eprint = {http://jhbmi.ir/article-1-390-en.pdf}, journal = {Journal of Health and Biomedical Informatics}, issn = {2423-3870}, eissn = {2423-3498}, year = {2020} } @article{ author = {Niazkhani, Zahra and Amiri, Parastoo and Pirnejad, Habibollah}, title = {Drug-Drug Interaction Clinical Decision Support Systems: Advantages, Challenges and Barriers, and Strategies to Overcome Them}, abstract ={Drug-drug interactions (DDIs) are a common source of preventable medical errors in inpatient and outpatient settings of both developed and developing countries. When two or more drugs are simultaneously prescribed, interactions between their effects may result in preventable adverse events such as damages to vital organs, frequent hospitalizations, prolonged length of hospital stay, and increased care cost for both patients and healthcare systems. Clinical decision support systems (CDSSs) have a great potential to support care providers to identify and manage DDIs timely, and thereby, to improve the quality of decisions on medication prescriptions. In this opinion paper, we provide a concise review of efforts necessary for a successful design and development of a DDI-CDSS with particular focus on the Iranian healthcare context. We also touch upon the measures to consider in order to overcome some of the important challenges and barriers jeopardizing the design and application of DDI-CDSSs in Iran.}, Keywords = {Clinical Decision Support System, CDSS, drug-drug interaction, challenges, advantages, review}, volume = {6}, Number = {4}, pages = {333-342}, publisher = {دانشگاه علوم پزشکی کرمان}, url = {http://jhbmi.ir/article-1-431-en.html}, eprint = {http://jhbmi.ir/article-1-431-en.pdf}, journal = {Journal of Health and Biomedical Informatics}, issn = {2423-3870}, eissn = {2423-3498}, year = {2020} } @article{ author = {Mastaneh, Zahra and Mouseli, Ali and HayaviHaghighi, Mohammad Hosein and Golvardi, Mohammad Sadegh and Balali, Mohammad Mehdi}, title = {A Technology Package for Electronic Infrastructures of Health Tourism}, abstract ={Introduction: Information Technology creates a foundation for developing health tourism. The purpose of the current study was to provide an information technology package for electronic infrastructures of health tourism. Methods: In this review study, in order to find various dimensions of health tourism, articles related to electronic health tourism were searched in PubMed, Science Direct and Scopus databases, as well as Google Scholar and specific websites of health tourism. Searched key words included Medical Tourism, Health Tourism "AND" Information Technology, Information and Communication Technology, e-Tourism and Electronic Tourism. Criteria for selecting articles were access to their full texts as well as covering some aspects of information technology in the field of health tourism. The search yielded 117 articles, of which 32 articles were selected finally. The contents of these articles were carefully studied and the technology package of health tourism was presented. Results: Based on the findings, an information technology package was developed that included different types of technology tools, capabilities, and outcomes of information technology applications in health tourism. In this package, Internet was the main tool for developing health tourism, websites of health centers were the most important capability of these technologies, and creating a competitive and interactive health system was the main consequence of information technology application in the field of health tourism. Conclusion: The designed package illustrates the dependence of positive outcomes of health tourism development to information-communication technologies. These tools provide the potential for gaining a share of the health tourism market and reform the health system structure to deliver high quality services in a global level.}, Keywords = {Electronic infrastructures, Internet, Health center websites, Interactive health system, Health tourism}, volume = {6}, Number = {4}, pages = {343-357}, publisher = {دانشگاه علوم پزشکی کرمان}, url = {http://jhbmi.ir/article-1-406-en.html}, eprint = {http://jhbmi.ir/article-1-406-en.pdf}, journal = {Journal of Health and Biomedical Informatics}, issn = {2423-3870}, eissn = {2423-3498}, year = {2020} } @article{ author = {Amiri, Parastoo}, title = {The Role of Electronic Health During the Covid-19 Crisis: A Systematic Review of Literatures}, abstract ={Introduction: In late 2019, Covid-19 Outbreak started in Wuhan, China and quickly spread through whole world. On the other hand, health information technology plays an important role in the current health system. Therefore, the aim of this systematic review investigates the role of electronic health during the outbreak of Covid-19 Crisis. Method: In this review study, studies from December 2019 to March 7, 2020 were searched for keywords and their equivalent in the "Medical Subject Headings (MeSH)" in the PubMed, Web of Science and Scopus databases also google search was used. From a total of 47 studies, 21 articles were identified relevant based on our research purpose. After applying the inclusion and exclusion criteria, finally five main articles and three reports were selected for review. Results: Studies evaluated the effective role of information technology in the diagnosis of Covid-19, prevalence, preventive, education and identification of high-risk areas. Among the technologies used were telemedicine, machine learning algorithms, deep learning, neural networks, and geographic information systems. Conclusion: The results of this study showed that governments and medical informatics professionals can learn from the experiences of the role of technology in preventing Covid-19 outbreak for any future epidemic to prevent any threat to the lives of nations, the recession, and ultimately the immediate response in times of crisis.  }, Keywords = {Electronic Health, Medical Informatics. Outbreak, Crisis, Covid-19, Systematic Review}, volume = {6}, Number = {4}, pages = {358-367}, publisher = {دانشگاه علوم پزشکی کرمان}, url = {http://jhbmi.ir/article-1-485-en.html}, eprint = {http://jhbmi.ir/article-1-485-en.pdf}, journal = {Journal of Health and Biomedical Informatics}, issn = {2423-3870}, eissn = {2423-3498}, year = {2020} }