@article{ author = {Mirzaei, Mohtaram and FiroozAbadi, Mohamm}, title = {The Impact of Data Mining on Prediction of Renal Transplantation Survival and Identifying the Effective Factors on the Transplanted Kidney}, abstract ={Introduction: Chronic kidney failure is a common disease in the world and kidney transplantation is the most effective treatment in patients with chronic kidney failure. The aim of this study was to predict the survival of transplanted kidney and identify its effective factors, and also to provide a model for higher prediction accuracy. Method: In this retrospective study, data from 423 cases of kidney transplant patients during 2006-2011 in Afzalipour Teaching Hospital in Kerman were obtained. The neural networks, decision tree and support vector machine were used to predict kidney transplantation survival and information fusion was used to combine the results of these classifiers and design a model with higher prediction accuracy. In addition, for identifying factors affecting the survival of transplanted kidney, genetic algorithm was used and for data analysis and implementation of algorithms, Clementine 12 and Weka 2.3 were used. Results: The accuracy of neural networks, decision tree, and support vector machine were 94%, 92%, and 92%, respectively, and the accuracy of information fusion was 95.74%. Also, recipient BMI and gender, donor age, compatibility of donor and recipient blood group, and history of kidney transplantation as the effective factors on renal transplantation survival were identified by genetic algorithm. The prediction accuracy of this model was 91.67%. Conclusion: The results show that information fusion can increase the prediction accuracy. Also, the genetic algorithm as an effective method can be used for identifying the optimal features.}, Keywords = {Information fusion, Neural Network, Decision Tree, Support Vector Machine, Genetic Algorithm}, volume = {3}, Number = {1}, pages = {1-9}, publisher = {دانشگاه علوم پزشکی کرمان}, url = {http://jhbmi.ir/article-1-136-en.html}, eprint = {http://jhbmi.ir/article-1-136-en.pdf}, journal = {Journal of Health and Biomedical Informatics}, issn = {2423-3870}, eissn = {2423-3498}, year = {2016} } @article{ author = {Ebrahimi, Saeid and Mehdipour, Yousef and Alipour, Jahanpour and Bostani, Marziyeh}, title = {Exploring the Possibility of Using Distance Learning for Nurses}, abstract ={Introduction: In order to achieve educational goals in developing countries like Iran, it is essential to use new training methods especially distance learning.  The aim of this study was to investigate the possibility of using distance learning for nurses in teaching hospitals affiliated with Zahedan University of Medical Sciences. Method: In this cross-sectional study, all nurses working in teaching hospitals affiliated with Zahedan University of Medical Sciences were included. The validity and reliability of data collection tools were approved and the results were analyzed by using descriptive statistics (mean, standard deviation and percentage). Results: According to the nurses’ responses, it is revealed that for using distance learning, the organizational possibilities with average of 2.64, technological facilities with average of 2.49, sociocultural facilities with average of 2.64, and finally, educational facilities of hospitals with average of 2.58, are at intermediate level, respectively. Conclusion: The findings show that hospitals have necessary facilities at intermediate level for distance learning courses. Therefore, by providing technological, organizational, and educational infrastructure, nurses who have critical role in improving the health of patients but deprived from education due to lack of time, can also use distant learning.}, Keywords = {Distance Learning, E-Learning, Virtual Education, Nurses}, volume = {3}, Number = {1}, pages = {10-17}, publisher = {دانشگاه علوم پزشکی کرمان}, url = {http://jhbmi.ir/article-1-128-en.html}, eprint = {http://jhbmi.ir/article-1-128-en.pdf}, journal = {Journal of Health and Biomedical Informatics}, issn = {2423-3870}, eissn = {2423-3498}, year = {2016} } @article{ author = {Sadeghi, Balal}, title = {Prediction of MicroRNAs (miRNAs) Targets in Breast Cancer Using Bioinformatics Methods}, abstract ={Introduction: Prediction of MicroRNAs (miRNAs) targets has a major importance. Development of calculating methods and also cost-effective and time-saving laboratory researches, has great effect on the production of therapeutic medicines like anti cancerous drugs. Since miRNAs have been recently identified, the researches trend was slow at first but by development of biologic databases and understanding its importance, scientists enhanced the speed of studies and paid more attention to this field. Until now, several computerized methods have been developed for prediction of microRNAs (miRNAs) targets but most of these methods have high false positive and further studies are required to improve these methods. Since, recent studies show that miRNAs have different targets in several tissues, this study aimed to provide a computerized method for prediction of miRNAs target in breast cancer. Method: In this study, at first, all types of features were extracted, then, dominant features were selected via CFS and Relief methods. Smart models such as nervous network, Support Vector Machine with three different cores, Naïve Bayes algorithm and Random Forest decision tree using ten cross accreditation method were tested and its results compared and analyzed. In order to validate the results, gene expression profiling was used. Results: Analyzing miRNA and gene expression profiles, the classifier predicted 124 functional interactions involving 21 miRNAs and 38 mRNAs in breast cancer. Conclusion: In terms of bioinformatics, this approach was validated for breast cancer but for further validation, experimental methods also should be used.}, Keywords = {MicroRNAs Targets Prediction, Breast Cancer, Support Vector Machine, Naïve Bayes}, volume = {3}, Number = {1}, pages = {18-28}, publisher = {دانشگاه علوم پزشکی کرمان}, url = {http://jhbmi.ir/article-1-131-en.html}, eprint = {http://jhbmi.ir/article-1-131-en.pdf}, journal = {Journal of Health and Biomedical Informatics}, issn = {2423-3870}, eissn = {2423-3498}, year = {2016} } @article{ author = {Mehdipour, Yousef and Ebrahimi, Saeid and Bastani, Peivand and shojaedini, zahr}, title = {Comparative Study of the Goals of Training Programs Related to the Professional Needs from the Viewpoint of Health Information Technology Graduates}, abstract ={Introduction: In fact, management of information technology in the health system, designing the hospital information systems and electronic medical records in the health care centers, need to train some specialists familiar with computer science and Information Technology as well clinical knowledge and health systems. This study aimed to compare training programs and professional needs from the viewpoint of health information technology graduates. Method: This is a descriptive-analytic and cross-sectional survey on the 120 Bachelor graduated in Health Information Technology of Zahedan School of Allied Medical Sciences in 2016. Data were collected by using a standard questionnaire with confirmed validity and reliability and analyzed using SPSS 16. Results: The results show that most of first-year students (% 75) had good ability in using Information Technology in their job. More first-year students believed that training courses (% 48/9) compared to the theoretical (% 41/6) and practical (% 35/5) courses were more effective and applicable in professional performance. On the other hand, most graduates declared that lack of technical skills (% 38/7) is the main factor causing psychological pressure in the first-year students although the level of this pressure in the second- year students and in third-year students were medium and low, respectively. Conclusion: Considering the results, relationship between the goals of training programs and professional needs in the field of health information technology was declining. Therefore, there are urgent need to change training courses in order to improve the professional skills of graduates and meet their professional needs.}, Keywords = {Graduates, Goals of Training Programs, Professional Needs, Health Information Technology}, volume = {3}, Number = {1}, pages = {29-37}, publisher = {دانشگاه علوم پزشکی کرمان}, url = {http://jhbmi.ir/article-1-135-en.html}, eprint = {http://jhbmi.ir/article-1-135-en.pdf}, journal = {Journal of Health and Biomedical Informatics}, issn = {2423-3870}, eissn = {2423-3498}, year = {2016} } @article{ author = {Montazeri, Mitr}, title = {Light Intensity Adjustment and Noise Removal for Medical Image Enhancement}, abstract ={Introduction: Image contrast enhancement is an image processing method in which the output image has high quality display. Medical images have prominent role in modern diagnosis; therefore, this study aimed to enhance the quality of medical images in order to help radiologists and surgeons in finding abnormal areas. Method: The methods used in this study to enhance medical images quality are categorized into two groups; intensity adjustment and noise removal. Intensity adjustment methods including techniques for mapping image intensity values to the new domain. The second group including methods to remove noise from the images.  Medical images used in this study including images of spine, brain, lung and breast. Results: The results were analyzed based on five criteria including the number of detected edges, PCNR, Image Quality Index, AMBE and visual quality that the number of detected edges in images of spine, brain, lungs and breast were 6465, 10305, 16266 and 13509, respectively. Conclusion: The results show that the methods with intensity adjustment technique have better performance in criteria such as the number of detected edges and image visual assessment. However, the other method include in noise removal technique perform more effectively in PCNR, Image Quality Index and AMBE measure}, Keywords = {Medical Image Processing, Quality Enhancement, Light Intensity Adjustment, Noise Removal}, volume = {3}, Number = {1}, pages = {38-47}, publisher = {دانشگاه علوم پزشکی کرمان}, url = {http://jhbmi.ir/article-1-129-en.html}, eprint = {http://jhbmi.ir/article-1-129-en.pdf}, journal = {Journal of Health and Biomedical Informatics}, issn = {2423-3870}, eissn = {2423-3498}, year = {2016} } @article{ author = {Okhovati, Maryam and Sharifpoor, Elham and HamzehZadeh, Mehran and Shahsavari, Masoomeh and Soltanshahi, Mahdieh}, title = {The Role of Public Libraries on Kerman Health Information Seeking Behavior}, abstract ={Introduction: Health clients when seeking health information are faced with challenges such as complexity of the health system, increase in prevalence of chronic diseases, need to participate in the health care, and increase in the available information from different and various sources. Disregarding the importance of health information-seeking behavior and the effectiveness of library services in this field, a few studies have been performed on health information-seeking behavior in developing countries like Iran. Method: The present survey was performed on 373 members of the public libraries in Kerman. The sample size were determined based on the Morgan table. Data were analyzed using descriptive statistics (frequency, mean, and standard deviation), chi-square test, and SPSS 19. Results: The results show that among 373 participants, 1.33% believed that library has no significant role in access to health information, and 8.9% believed that the library plays a key role in this area. In this study, a significant relationship between the age, sex, marital status, educational level and occupation of individuals, and the diagnosis of disease was reported. In addition, a significant relationship between the role of library in access to health information and age was also reported. Conclusion: Investigation of individuals’ health information-seeking behavior can be used as an effective tools to help planners and administrators. Although Information and Communication Technology (ICT) has been remarkably grown and internet plays significant role compared to the other channels that help people to access to health information but the book is still regarded as an important and common resource to access the information.}, Keywords = {Health Information, Health Information Seeking Behavior, Public Libraries}, volume = {3}, Number = {1}, pages = {48-56}, publisher = {دانشگاه علوم پزشکی کرمان}, url = {http://jhbmi.ir/article-1-138-en.html}, eprint = {http://jhbmi.ir/article-1-138-en.pdf}, journal = {Journal of Health and Biomedical Informatics}, issn = {2423-3870}, eissn = {2423-3498}, year = {2016} } @article{ author = {RezaeiArdani, Amir and Ahmadian, Leila and Kimiyafar, khalil and Rohani, Faezeh and Ebnehoseini, Zahr}, title = {Comparative Study of Data Elements in Psychiatric History and Assessment Forms in Selected Countries}, abstract ={Introduction: Considering the importance of accurate documentation in psychiatric history and mental assessment and its effect on the current and future treatment among patients, this study aimed to determine data elements in the psychiatric history and mental assessment forms. Method: This is a descriptive-comparative study. Using psychiatric history and assessment forms, the required data were gathered in this study. Finally, all psychiatric history and mental assessment forms gathered from the selected countries including the United States (n=9), Australia (n=1), France (n=1), Iran (n=2) were assessed. After preparing the comparative tables, a comprehensive list of data elements related to the psychiatric history and assessment was provided. Using bottom up approach the extracted data elements were categorized. Results: In total, 58 data elements including demographic data, patient history, current symptoms of disease, evaluation of psychological states, suicide risk assessment, behavioral/emotional conditions, thinking process, drug abuse assessment, family safety/violence assessment, multi-axial diagnosis and treatment type/plan were extracted from psychiatric history and assessment forms. Conclusion: The present study provides a general view of important data elements considered for documentation in psychiatric history and assessment forms.}, Keywords = {Data Element, Psychiatric History, Assessment Forms}, volume = {3}, Number = {1}, pages = {57-64}, publisher = {دانشگاه علوم پزشکی کرمان}, url = {http://jhbmi.ir/article-1-101-en.html}, eprint = {http://jhbmi.ir/article-1-101-en.pdf}, journal = {Journal of Health and Biomedical Informatics}, issn = {2423-3870}, eissn = {2423-3498}, year = {2016} } @article{ author = {Bastani, Peivand and Sharifian, Roxana and Ebrahimi, Saeid and Mehdipour, Yousef and Derahaki, Mojdeh}, title = {RFID Technology in Healthcare Industry: Its Challenges and Requirements}, abstract ={Introduction: Nowadays, the health care providers are faced with limited resources and rising costs. Information technology (IT) provides tools and processes required for measurement and control of the process and ultimately improves patient care in the centers of healthcare provider. In this regard, RFID is one of the new technologies and applications that benefits the healthcare industry. But its application in healthcare industry is faced with a lot of challenges and requirements that are discussed in this study. Method: This compressive review aimed to determine the challenges and requirements for applying radio frequency identification (RFID) technology in the hospital system. For this purpose, search engines and databases e.g.,  Scholar Google, Emerald, Science Direct, IranMedex, SID, Magiran, Pubmed using MESH terms and keywords related to RFID technology in the healthcare industry were used. Results: Despite the critical applications of RFID technology in the hospital system, such as tracking patients, equipment, medications, identification and authentication, recognition and enhancing quality, and patient safety, in order to enhance quality and patient safety, this technology is faced with challenges such as technological, economic, institutional, cultural, administrative, social and human problems. Conclusion: The results show that the main challenges for applying RFID technology include project financing, technical limitations, concerns about privacy, lack of senior managers and decision makers’ supports.}, Keywords = {Radio Frequency Identification, Challenges, Requirements, Healthcare, Hospital}, volume = {3}, Number = {1}, pages = {65-75}, publisher = {دانشگاه علوم پزشکی کرمان}, url = {http://jhbmi.ir/article-1-124-en.html}, eprint = {http://jhbmi.ir/article-1-124-en.pdf}, journal = {Journal of Health and Biomedical Informatics}, issn = {2423-3870}, eissn = {2423-3498}, year = {2016} } @article{ author = {Ebrahimi, Maryam and Sharifian, Roxana and Bahador, Fateme and Asadi, Fariba and Farmani, Atefe and Afrazandeh, Sar}, title = {The Challenges of Picture Archiving and Communication System from the Users’ Perspective in the Teaching Hospitals Equipped with the System}, abstract ={Introduction: Nowadays, the advent of digital medical equipment and using information technology especially in the medical field are accompanied with many advantages and challenges. Therefore, identifying the challenges of modern technologies can significantly help the managers to use technology properly. The aim of this study was to assess the challenges of picture archiving and communication system (PACS) from the users’ perspective. Method: This descriptive analytical study was performed on 53 users of PACS in 2014. Data were collected by a questionnaire that its reliability was calculated by Cronbach’s Alpha (0.78). Data were analyzed and descriptive statistics (frequency distribution table, mean, index of dispersion, and analysis of variance) were obtained using SPSS 18. Results: It was found that 26.4 percent of the users used PACS for 5 years, 58.8 percent used the system for 2-5 years, and 75.5 percent of diagnostic imaging department users also used this system. The results of multivariate analysis of variance (MANOVA) showed that only access to the system is the significant variable, and the average score of challenges in the clinics is higher than those in other departments. Conclusion: The results show that PACS users expressed the opposite opinion about the challenges indicating that users have relative satisfaction from the system and implementation of this system was greatly successful.}, Keywords = {Picture Archiving and Communication System (PACS), Challenges, Information Technology, Shiraz University of Medical Sciences}, volume = {3}, Number = {2}, pages = {76-84}, publisher = {دانشگاه علوم پزشکی کرمان}, url = {http://jhbmi.ir/article-1-140-en.html}, eprint = {http://jhbmi.ir/article-1-140-en.pdf}, journal = {Journal of Health and Biomedical Informatics}, issn = {2423-3870}, eissn = {2423-3498}, year = {2016} } @article{ author = {Karimimanesh, Fateme and DavarpanahJazi, Mohammad and mohamadiFard, Nooshi}, title = {The Relationship between Components of Metabolic Syndrome and Nutritional Indices in Adolescents Using Data Mining Approach}, abstract ={Introduction: Nowadays, to obtain useful relationship between risk factors in diseases, data mining techniques are used. The aim of this study was to assess the relationship between nutritional indices and obesity and components of metabolic syndrome using data mining approach. Methods: In this correlational survey, 1019 adolescents (aged 11-18 years) were included and nutritional data were collected using a Food Frequency Questionnaire (FFQ). Dietary Diversity Score (DDS) and Healthy Eating Index (HEI-2010) were calculated. According to the values of metabolic syndrome components, a risk score was determined for each individual. Relationship between the variables was analyzed using linear regression. Results: There was no significant relationship between DDS and components of metabolic syndrome and obesity. However, there was a significant but weak positive relationship between HEI and high waist (B=0.093, P=0.01165), body mass index (BMI) (B=0.309, P=0.022) and waist-to-height ratio (B=0.0006, P=0.005). Conclusion: There was no relationship between DDS and risk of metabolic syndrome and obesity but there was a significant positive relationship between HEI and some components of metabolic syndrome and obesity. It seems that the relationship between nutritional indices in HEI and obesity indices should be assessed in HEI.}, Keywords = {DDS, HEI, Metabolic Syndrome, Data Mining, Regression}, volume = {3}, Number = {2}, pages = {85-91}, publisher = {دانشگاه علوم پزشکی کرمان}, url = {http://jhbmi.ir/article-1-142-en.html}, eprint = {http://jhbmi.ir/article-1-142-en.pdf}, journal = {Journal of Health and Biomedical Informatics}, issn = {2423-3870}, eissn = {2423-3498}, year = {2016} } @article{ author = {Mehdipour, Yosef and Ebrahimi, Saeid and Alipour, Jahanpour and Karimi, Afsaneh and Tabatabei, Fatemeh}, title = {Determinants of Physicians\' Technology Acceptance for e-health in Healthcare Setting}, abstract ={Introduction: Using Electronic healthcare to improve the quality and effectiveness of the health care services is necessary considering the healthcare infrastructure in Iran. The aim of this study was to investigate the determinants of physicians' technology acceptance for e-health in healthcare setting. Methods: This cross-sectional descriptive-analytical study was performed on all physicians working at teaching hospitals. Finally, 140 physicians participated in this study. In order to collect data and test the research hypothesis, a researcher-made questionnaire was used based on the variations of the TAM and UTAUT models. The reliability of questionnaire was confirmed (r=0.8). Data were analyzed using SPSS 22 and SmartPLS 3.2. Results: The average score of perceived efficiency, behavioral intention, importance of information security, intensity of IT use, perceived ease of use, electronic healthcare knowledge, importance of standardization and familiarity process was higher than 3 indicating that the level of variables was intermediate. The structures of the models analyzed in this study had positive effect on the use of electronic healthcare services by the physicians. Conclusion: Based on the findings, the health-care administrators and politicians are recommended to use technology acceptance theories in order to determine the determinants of physicians' technology acceptance and use for e-health and to take steps in improving the healthcare services quality and avoid waste of resources.}, Keywords = {Electronic health care services, Modern technologies, Health}, volume = {3}, Number = {2}, pages = {92-99}, publisher = {دانشگاه علوم پزشکی کرمان}, url = {http://jhbmi.ir/article-1-155-en.html}, eprint = {http://jhbmi.ir/article-1-155-en.pdf}, journal = {Journal of Health and Biomedical Informatics}, issn = {2423-3870}, eissn = {2423-3498}, year = {2016} } @article{ author = {Jafarinezhad, Saeideh and DehghaniAshkezari, Mahmood and Jebali, Ali}, title = {The Study of Interactions between Amyloid-Beta Precursor Protein and Functional Nanomotors as a New anti-Alzheimer\'s Disease Strategy by Modeling and Computer Simulation}, abstract ={Introduction: The aim of this study was to evaluate the performance of three nanomotors on 15 transmembrane amyloid-beta precursor proteins by molecular dynamics simulation. Method: In this study, 15 transmembrane APP (14 mutant forms and one normal) were obtained from National Center for Biotechnology Information (NCBI) and separately modeled in Designer Ascalaph. The synthesized peptides with three-dimensional stable structures were selected to be simulated and then were placed near synthesized nanomotors, hypericin, and retinol using HyperChem. At end of simulation, different parameters such as free energy, intermolecular energy, potential energy, and root mean square displacement (RMSD) were separately obtained for each APP. Finally, the ratio of changes was calculated for each parameter. Results: The results showed that each nanomotor had different performance on different peptides. Hypericin on peptide 5, retinol on peptide 10, and nanomotors partly on peptide 4 had a great performance. But because each nanomotor influences only special mutant peptide and Alzheimer's disease is caused by different mutations, only one type of nanomotors cannot be used to treat Alzheimer's disease. Conclusion: According to the investigations performed on the treatment of Alzheimer’s disease, it can be concluded that retinol with three-dimensional structure and dynamic parameters has great performance on transmembrane mutant peptide; therefore, it can be considered as a useful treatment strategy.}, Keywords = {Amyloid Precursor Protein, Alzheimer's disease, Simulation, Nanomotor}, volume = {3}, Number = {2}, pages = {100-117}, publisher = {دانشگاه علوم پزشکی کرمان}, url = {http://jhbmi.ir/article-1-141-en.html}, eprint = {http://jhbmi.ir/article-1-141-en.pdf}, journal = {Journal of Health and Biomedical Informatics}, issn = {2423-3870}, eissn = {2423-3498}, year = {2016} } @article{ author = {Naeimi, Manevey and Rahnavard, Apti}, title = {Comparison of the Evolutionary Process of the TERT Subunits of Telomerase Between Plants and Vertebrates Using Bioinformatics and Computational Methods}, abstract ={Introduction: Telomere is the physical terminal of linear chromosomes composed of a non-coding sequence that protects the ends of chromosomes. Therefore, evolutionary process of telomerase, as the synthase enzyme of telomere, and its structure in various species should be discussed. The aim of this study was to collect the sequences of telomerase gene family and compare them in order to find motifs protected by this gene family and investigate the proximity of human TERT with other species using bioinformatics and computational methods. This study was performed on the 3 levels of protein, mRNA, and DNA. As the sequences of organisms have been increased, combining plants’ and animals’ data is a challenge. Also, more information about the structure of telomerase can help to find new ways to inhibit this enzyme in cancer. Method: In this in silico study, species had at least 35% evolution similarity were selected from plants and vertebrates. Sequences were aligned using ClastalW program. Organisms’ evolutionary tree was drawn using MEGA5 software and protein motifs were detected using ScanProsite software. Results: Proximity of human TERT with other spices was observed in C-terminal region. Amino acid parts preserved were detected and the reverse transcriptase domain was introduced as conserved functional motifs of all species at protein level. Conclusion: Any removal or disturbance in RT-POL domain lead to enzyme deficiencies in all species. Also, the N-terminal region of TERT because of its high preservation in mammals, was introduced as an attractive target for inhibition of telomerase in breast cancer.}, Keywords = {Bioinformatics, Phylogenetics, Telomerase, Cancer}, volume = {3}, Number = {2}, pages = {118-131}, publisher = {دانشگاه علوم پزشکی کرمان}, url = {http://jhbmi.ir/article-1-154-en.html}, eprint = {http://jhbmi.ir/article-1-154-en.pdf}, journal = {Journal of Health and Biomedical Informatics}, issn = {2423-3870}, eissn = {2423-3498}, year = {2016} } @article{ author = {Borjalilu, Somaieh and Mazaheri, Mohammd ali and Talebpor, Alirez}, title = {The Role of Mobile Applications in Delivery of Mental Health Services: A Review Study}, abstract ={Introduction: New technologies have developed health service delivery. Development of smartphone and mobile applications (apps) all around the world has increased the opportunity to access the mental health services. The aim of the study was to introduce the mental health apps based on the evidence. Method: This is a review article. A comprehensive literature search was performed in online databases including SID, Iran Medex, Magiran, PubMed, Psycinfo, Google Scholar, Science Direct, and Scopus. Results: In this study, 12 of 6423 abstracts identified through the research were founded by inclusion criteria. The present Apps provided services in the field of psycho-education, assessment, intervention and social support in the mental health and mental disorder. The results showed the efficacy of mental health Apps in improving health components and behavior change. Conclusion: Mental health Apps have improved the accessibility to mental health services and psychological well- being. Therefore, more attention should be paid to design and development of mental health Apps. For this purposes, ethical considerations and information security are important factors that should be considered when designing and using mental health apps.}, Keywords = {E-health, Smartphone, Mobile Application, Mental Health}, volume = {3}, Number = {2}, pages = {132-144}, publisher = {دانشگاه علوم پزشکی کرمان}, url = {http://jhbmi.ir/article-1-149-en.html}, eprint = {http://jhbmi.ir/article-1-149-en.pdf}, journal = {Journal of Health and Biomedical Informatics}, issn = {2423-3870}, eissn = {2423-3498}, year = {2016} } @article{ author = {Jahanimoghadam, Fatemeh and Abdolalizadeh, MahboobehA}, title = {Ergonomics, Musculoskeletal Disorders, and Computer Work}, abstract ={Introduction: With the advent of technology, use of computer has become an essential part of human life. The most important human achievement in recent years is the invention of computer. The main problems caused by computer use are musculoskeletal disorders. However, information about the health problems caused by working with computers and prevention strategies is insufficient. Therefore, the aim of this study was to provide ergonomic principles for working with computers in order to reduce and prevent musculoskeletal disorders, facilitate the Interactions between human and equipment to improve the health and safety of computer users. Method: The keywords of computer, ergonomics, and musculoskeletal disorders were searched in four databases (Pubmed, Google, Scopus, and Medline) during 1994 to 2016, and 70 reviews were found out, among which 42 reviews were selected based on their quality and reliability and scientifically analyzed. Results: It was found that further information, education, and studies are required for preventing chronic pain and musculoskeletal disorders. Furthermore, ergonomic reforms of the equipment and workstation are very essential. Conclusion: In this study, the simple and essential health strategies and ergonomic principles for working with computers, appropriate computer workstation ergonomics, and the need for training and giving information to computer users were described.}, Keywords = {Computer, Ergonomics, Musculoskeletal Disorders }, volume = {3}, Number = {2}, pages = {145-154}, publisher = {دانشگاه علوم پزشکی کرمان}, url = {http://jhbmi.ir/article-1-130-en.html}, eprint = {http://jhbmi.ir/article-1-130-en.pdf}, journal = {Journal of Health and Biomedical Informatics}, issn = {2423-3870}, eissn = {2423-3498}, year = {2016} } @article{ author = {Moghaddasi, Hamed and Mehdizadeh, Hame}, title = {Mobile Health for Diagnosis and Management of Skin Lesions}, abstract ={Introduction: Recent advances in mobile technology combined with medical specialties, have introduced a new option called mobile health that provides new opportunities to improve patients’ health. Mobile health has changed the traditional delivery of healthcare services and also previous assumptions of concepts such as service providers, patients, health care services and lifestyle. The aim of this study was to introduce mobile health concept and application of this technology in management and treatment of skin lesions. Methods: This is a comprehensive review aimed to introduce mobile health application in providing skin care and diagnostic services and clinical outcomes of this method. In this review article, articles on the telemedicine, mobile health, and teledermatology were searched using online databases such as Pubmed, Scopus, Google scholar, Web of Science, and Ebsco. Results: Studies in this area show that use of mobile health in dermatology is superior to the conventional method of teledermatology and this method can be used for diagnosis, treatment, screening, triage, and also management of patients with chronic conditions in their home. Conclusion: Mobile health can be potentially used as a cost effective and available method for providing professional skincare services especially in the economically or geographically-disadvantaged area, thereby, the gap of access to professional services will be filled.}, Keywords = {Telemedicine, Telehealth, Mobile Health, Dermatology}, volume = {3}, Number = {2}, pages = {155-165}, publisher = {دانشگاه علوم پزشکی کرمان}, url = {http://jhbmi.ir/article-1-137-en.html}, eprint = {http://jhbmi.ir/article-1-137-en.pdf}, journal = {Journal of Health and Biomedical Informatics}, issn = {2423-3870}, eissn = {2423-3498}, year = {2016} } @article{ author = {Khammarnia, Mohammad and Mehdipour, Yosuf and Ebrahimi, Saeed and Hakimi, Delara and Sotodezadeh, Fatemeh and RamezaniSiakholak, farib}, title = {The Impact of Computerized Physician Order Entry System on the Quality of Health Services: The Viewpoints of Physicians and Nurses}, abstract ={  Introduction: Computerized physician order entry system has an important role in improving the quality of health care in hospitals. Since the viewpoints of users of a technology toward the usefulness and convenient use of that technology has a significant impact on its acceptance, the aim of the present study was to investigate the opinions of physicians and nurses working in Zahedan University of Medical Sciences toward the impact of computerized physician order entry system on the quality of health care services. Methods: This cross-sectional study was performed in six hospitals affiliated to Zahedan University of Medical Sciences in 2016. Study sample consisted of 250 physicians and nurses selected randomly. Data collection instrument was a standardized questionnaire consisted of 30 questions. Data analysis was performed using t- tests and One-way ANOA and through SPSS and PLS software packages. Results: According to the results, hospital staff of ophthalmic specialty hospital had significantly more positive viewpoint about this system (P=0.025). Moreover, those with higher job experience compared to those with less job experience had more positive view on this system (94.08 vs. 88.57). This system had a significant effect on the quality of health care services and also on work safety, process and relationships (P<0.05). Conclusion: Computerized physician order entry system can have a significant effect on the quality of health care services and also on work safety, process and relationships.  }, Keywords = {Computerized physician order entry system, Viewpoint, Physicians, Nurses}, volume = {3}, Number = {3}, pages = {166-173}, publisher = {دانشگاه علوم پزشکی کرمان}, url = {http://jhbmi.ir/article-1-164-en.html}, eprint = {http://jhbmi.ir/article-1-164-en.pdf}, journal = {Journal of Health and Biomedical Informatics}, issn = {2423-3870}, eissn = {2423-3498}, year = {2016} } @article{ author = {Rouhani, Saeed and Zamenian, Shook}, title = {Prototyping and Evaluating a Hospital Dashboard based on End-User Satisfaction Model}, abstract ={Introduction: One of the new tools in the field of information technology is business or organizational dashboards that are as a backup in the process of strategic management of organizations. The aim of this study was to design a prototype of a hospital dashboard based on the principles and guidelines of organizational dashboards and evaluating it based on End-user Computing Satisfaction (EUCS) model. Method: In this experimental study, the prototype of a dashboard was prepared. Then, using survey method, a questionnaire consisted of 16 questions related to the five independent variables of EUCS model (content, accuracy, format, ease of use and timeliness) was designed and evaluated. The validity of the questionnaire was determined (α > 0.7). The designed dashboard was given to the study samples (n= 36) selected based on Morgan table and through target-based sampling from the study population (n= 40). Data were gathered using the questionnaire and analyzed. Results: Comparison of mean of study variables, including satisfaction of the dashboard format, timeliness, ease of use, accuracy and content, with average status showed a significant difference between mean of all variables and their average values. Conclusion: The variables of format and accuracy had respectively the highest and lowest satisfaction rates among users. Users’ satisfaction level of all dashboard factors was equal showing acceptable satisfaction rate of the designed dashboard based on the principles and guidelines of organizational dashboards.}, Keywords = {Hospital Dashboard, End-user Computing Satisfaction (EUCS) model}, volume = {3}, Number = {3}, pages = {174-185}, publisher = {دانشگاه علوم پزشکی کرمان}, url = {http://jhbmi.ir/article-1-158-en.html}, eprint = {http://jhbmi.ir/article-1-158-en.pdf}, journal = {Journal of Health and Biomedical Informatics}, issn = {2423-3870}, eissn = {2423-3498}, year = {2016} } @article{ author = {Moghadasi, Hamid and Abolhassani, Marjan and Kazemi, Alirez}, title = {Presenting an Object- Oriented Functional Model for Diabetes Registry Software}, abstract ={Introduction: Diabetes registry needs a system to collect, process and distribute patients’ information. In this field, a software that can completely solve the needs of users is not available. For this, providing an object-oriented operating model in order to implement characters of this software, as the first step in designing diabetes registry software, can be useful. Methods: This is an applied study which has been extracted by exploring the processes and operating models of diabetes registry system, requirements, and coordination of a software system registry. The study population included software operational models of diabetes registry system in Iran and other countries. The method of collecting information included exploring the texts and interviewing which was done through resources and questionnaire. Results: According to surveys conducted, The result of studies was developed on diabetes registry software and operating model in an object-oriented operating model software system.in the end,the main processes of a diabetes registry system were put in five use cases such as case finding, collecting health data, abstracting and coding, reporting, and active follow-up. Conclusion: Given the complexity of diabetes disease and the growing need for more efficient data management, designing and developing comprehensive diabetes registry software is essential in hospitals. Through detailed analysis of the requirements of a software system and its modeling, it can be expected to achieve the effective implementation of the software. A well-designed software in diabetes registry can automate processes of diabetes registry and consequently save the time and financial and human resources.}, Keywords = { Diabetes Registry, Functional Model, Diabetes Registry Data, Object Oriented}, volume = {3}, Number = {3}, pages = {186-194}, publisher = {دانشگاه علوم پزشکی کرمان}, url = {http://jhbmi.ir/article-1-84-en.html}, eprint = {http://jhbmi.ir/article-1-84-en.pdf}, journal = {Journal of Health and Biomedical Informatics}, issn = {2423-3870}, eissn = {2423-3498}, year = {2016} } @article{ author = {Ghazisaeedi, Marjan and Shahmoradi, Leila and Ranjbar, Abdolmohammad and Sahraei, Zohreh and Tahmasebi, Farideh}, title = {Designing a Mobile-Based Self-Care Application for Patients with Heart Failure}, abstract ={Introduction: Patients with heart failure experience debilitating symptoms lowering their life quality. Patients must use several methods of self-care in order to reduce symptoms and the rate of hospitalization and to improve their quality of life. The main purpose of this study was to design and create a mobile-based self-care application for patients with heart failure. Methods: This was an applied developmental study. Initially, a questionnaire was prepared to assess information requierments, determine data elements and necessary capacities of the application. Then, 20 cardiologists working in Shahid Madany hospital, the specialty center of cardiovascular surgery affiliated to Tabriz University of Medical Sciences were asked to fill out the questionnaire. The obtained data were analysed and the application was developed accordingly.  Finally, in order to evaluate its practical capability and patients’ satisfaction rate, it was used by 10 patients with heart failure. Results: The majority of data elements in the questionnaire were found necessary by the cardiologists. The main features of the designed application included alerts for daily monitoring, visit time and reminders of time of drug use, hypertention, increase of heart rate and weight gain. In evaluation of practical capability of the application by patients, it was evaluated in a good level with the mean score of 7.8 (out of 9). Conclusion: Mobile-based self-care applications can be used to help patients with heart failure to manage their disease and to obtain self-care skills.}, Keywords = {Heart Failure, Smartphone, mHealth, Self-care}, volume = {3}, Number = {3}, pages = {195-204}, publisher = {دانشگاه علوم پزشکی کرمان}, url = {http://jhbmi.ir/article-1-156-en.html}, eprint = {http://jhbmi.ir/article-1-156-en.pdf}, journal = {Journal of Health and Biomedical Informatics}, issn = {2423-3870}, eissn = {2423-3498}, year = {2016} } @article{ author = {Shahsavani, Davood and Farhadi, Zohreh}, title = {A Novel Method of Gene Expression Data Clustering}, abstract ={Introduction: The microarray technology and production of gene expression data are among the important developments in genetic science that provide ability to study the behavior of thousands of genes, simultaneously.  Clustering is one of the most important data mining techniques used in gene expression data analysis. As, the performance of clustering methods is strongly affected by the structure of data, the result of clustering is always uncertain and there is no algorithm that can be used for all kinds of data. In this study, ensemble clustering (combined results of multiple clustering algorithms) was used for gene expression data analysis rather than using a single algorithm. Methods: The performance of ensemble clustering in three gene expression data sets, Nutt-v3, Alizadeh-v2 and SU, were evaluated by adjusted Rand index. Twelve different clusterings resulted from the combination of four clustering algorithms with three dissimilarity matrices were simultaneously applied on data. After merging the results,and running the final clustering, the estimated clusters were compared with actual groups by the adjusted Rand index. Results: The adjusted Rand index for the three data sets of Nutt-v3, Alizadeh-v2 and SU, were respectively 1, 0.9 and 0.58 which shows the remarkable accuracy of the proposed method in detecting patterns in data sets. Moreover, the designed algorithm could detect the actual number of clusters without errors. Conclusion: Ensemble clustering is a powerful and reliable method for gene expression data analysis. Due to the accuracy and quality of this method in detection of real data structures, it can be replaced the individual clustering algorithms.}, Keywords = {Data mining, Ensemble clustering, Hierarchical clustering, Partition around medoids, Classic multidimensional scaling}, volume = {3}, Number = {3}, pages = {205-213}, publisher = {دانشگاه علوم پزشکی کرمان}, url = {http://jhbmi.ir/article-1-153-en.html}, eprint = {http://jhbmi.ir/article-1-153-en.pdf}, journal = {Journal of Health and Biomedical Informatics}, issn = {2423-3870}, eissn = {2423-3498}, year = {2016} } @article{ author = {Keikha, Leila and Safdari, Reza and Ghazisaeedi, Marjan and SeiedFarajollah, Sedigheh and Mohammadzadeh, Niloofar}, title = {Standards as Infrastructure for National Electronic Health Record Development: A Comparative Study}, abstract ={Introduction: Results of previous studies have showed that there is no comprehensive and standard model for the development of Electronic Health Record (EHR). Therefore, in this study, with the aim of proposing a set of applicable standards for EHR development in Iran, different standards were compared in terms of structure and content, architecture and function aspects. Method: This comparative study was done in 2017 to compare standards of ASTM, HL7 and ISO organization based on their content. Then, a set of required standards for the development of a national electronic health record was suggested. Results: ASTME1384 not only included structure and content standard of EHR and CCR user friendly architecture, but also it considered data exchange. Executive function of HER in DSTU-functional model was significant achievement of Hl7. ISO18308 contained requirements for structure and content of EHR and ISO18306 presented interoperability of data comprehensively. Conclusion: In spite of different activities of standardization organizations in various fields of EHR development, each of them is more comprehensive in some specific aspects. According to the obtained results, for successful development of HER, E1384 is suggested for structure and content, CDA for architecture and DSTU conformance criteria for evaluation.}, Keywords = {Comparative study, Electronic Health Record, Standards, Content and structure, Architecture }, volume = {3}, Number = {3}, pages = {214-222}, publisher = {دانشگاه علوم پزشکی کرمان}, url = {http://jhbmi.ir/article-1-160-en.html}, eprint = {http://jhbmi.ir/article-1-160-en.pdf}, journal = {Journal of Health and Biomedical Informatics}, issn = {2423-3870}, eissn = {2423-3498}, year = {2016} } @article{ author = {Masoudi, Mojtaba and Pourreza, Hamidreza and Saadatmand, Mahdi and ShafieiZargar, Fateme and Amini, Mahnaz and PezeshkiRad, Masou}, title = {A Review of Computer-Aided Detection of Pulmonary Embolism in CT Angiograms}, abstract ={Introduction: pulmonary computed tomography angiography (CTA) is widely used in the detection of pulmonary embolism. Using these thin slices for studying clinical function of lung is necessary, but it is time-consuming for radiologists. Therefore, several systems have been designed for detection of embolism. The aim of this study was to review and evaluate systems of detection of pulmonary embolism. Method: In this study, all the articles in databases including IEEE, Science Direct, Medical Physics and SPIE in the field of processing pulmonary computed tomography angiograms and computer-aided detection systems were reviewed. A total of 16 articles between 2002 and 2015 were extracted. Each article presented one  CAD system that was evaluated with quantitative and qualitative analysis. To assess systems, the number of images in database, sensitivity and false positive error rate were used. Results: Various systems are designed to detect embolism. Image database is affected by different factors such as pulmonary diseases, noise, the time of taking image, diversity of pulmonary embolism in main and peripheral branches and the number of data. The maximum number of data was 177 samples and the minimum was 3 samples. Sensitivity and the number of false positive errors are good criteria. Among the CAD systems, the sensitivity was 50% to 100% and the rate of false positive was 2- 22.6 per scan. Conclusion: According to the results, in addition to having high sensitivity and low false positive error, detection systems must have large image database of embolism in various branches of vessels.}, Keywords = {Image Processing, Computer Assisted, Computed Tomography Angiography, Pulmonary Embolism}, volume = {3}, Number = {3}, pages = {223-232}, publisher = {دانشگاه علوم پزشکی کرمان}, url = {http://jhbmi.ir/article-1-162-en.html}, eprint = {http://jhbmi.ir/article-1-162-en.pdf}, journal = {Journal of Health and Biomedical Informatics}, issn = {2423-3870}, eissn = {2423-3498}, year = {2016} } @article{ author = {Rezaei, Sorayya and Safaei, Ali Asghar}, title = {A Systematic Review of Wearable Technologies and their Applications in Health}, abstract ={Introduction: Wearable technologies are generally used in order to monitor physiological parameters and vital signs such as heart rate, respiratory rate, blood glucose, blood pressure and etc. With increasing rate of various diseases like heart attacks, cancer, neurological disorders and diabetes, the need for continuous and long-term monitoring of patients is felt more and wearable technologies can be used in health domain for continuous monitoring and instantaneously processing of patients’ information. Methods: In this study, SID, Magiran, PubMed, ScienceDirect, IEEE and Springer databases were searched with the keyword of ”Usage of wearable sensors and technologies in health” in English sources and the Persian equivalent of “wearable technologies in health” as the keyword in Persian sources. All articles related to the application and features of wearable technologies in health were selected. Repetitive articles and those without full-text were excluded from the study. Results: A total of 100 articles were found that after excluding repetitive and irrelevant articles, just 30 articles were studied. In this study, after examining the papers, general and medical applications of wearable technologies, physiological parameters that can be monitored as well as diseases that can be controlled by these technologies are completely explained. Conclusion: Better understanding of wearable technologies application in health field has an undeniable impact on their advancement. Use of these systems plays an important role in improving the health of people.}, Keywords = {Application of wearable technologies, Monitoring of physiological parameters, Vital signs, Smart tools}, volume = {3}, Number = {3}, pages = {233-242}, publisher = {دانشگاه علوم پزشکی کرمان}, url = {http://jhbmi.ir/article-1-151-en.html}, eprint = {http://jhbmi.ir/article-1-151-en.pdf}, journal = {Journal of Health and Biomedical Informatics}, issn = {2423-3870}, eissn = {2423-3498}, year = {2016} } @article{ author = {Tavakoli, Nahid and Jahanbakhsh, Maryam and Yadegarfard, Ghasem and Ranjbar, Narges}, title = {Acceptance and Use of Hospital Information System: A Study on Medical Records Users Based on Unified Theory of Acceptance and Use of Technology}, abstract ={Introduction: The importance of users’ role in success or failure of hospital information system and effective factors in successful implementation of these systems is obvious. This study aimed to identify acceptance and use of hospital information systems among medical record department employees at Isfahan teaching hospitals. Methods: This was an applied and analytic study. Research population was staff of medical record departments of 11 teaching hospitals in Isfahan/ Iran. One available user from each medical record unit (admission, statistics, coding and filing) was selected and since in some of the hospitals, the filling unit is not active, totally, 39 users were included in the study. Data were collected through a questionnaire. The validity of the questionnaire was confirmed by 10 academic members and its reliability was determined by Cronbach's alpha (89%). Data were analyzed using Pearson correlation coefficient, one-way analysis of variance, corresponding non-parametric and Kruskal Wallis Test and through SPSS21. Results: The results showed a strong and positive correlation of behavioral intention with performance expectation (r=0.488), Social effects (r=0.607) and effort expectation (r=0.304). In contrast, there was weak correlation between behavioral intention and facilitating conditions (r=0.197). Conclusion: The results showed that from the point of views of medical record department’s staff of Isfahan teaching hospitals, use of hospital information system improves job performance and it seems that for improvement of the present systems, users’ expectations and needs are important factors and cause successful implementation of information systems in health sector.}, Keywords = {Hospital information system, Medical Record Department, Unified Theory of Acceptance and Use of Technology (UTAUT)}, volume = {3}, Number = {4}, pages = {243-250}, publisher = {دانشگاه علوم پزشکی کرمان}, url = {http://jhbmi.ir/article-1-168-en.html}, eprint = {http://jhbmi.ir/article-1-168-en.pdf}, journal = {Journal of Health and Biomedical Informatics}, issn = {2423-3870}, eissn = {2423-3498}, year = {2017} } @article{ author = {Tahmasbi, Hamidreza and Jalali, Mehrdad and Shakeri, Hass}, title = {An Expert System for Heart Disease Diagnosis Based on Evidence Combination in Data Mining}, abstract ={Introduction: Coronary Artery disease is the most common type of heart disease and one of the leading causes of death in industrialized countries.  The aim of this study was to design an expert system with high accuracy for Coronary artery disease diagnosis. Methods: In this applied study, 14 features of 303 patients underwent coronary angiography were used. Dempster-Shafer theory of evidence combination was used to combine the results of three classifying methods including Decision Tree, K-Nearest Neighbor and Neural Network, in order to design a more accurate coronary artery disease diagnostic system. The data mining tool (Weka version 3.7) and C# in Net Framework environment were used for the implementation of model. The 10-fold cross-validation was used for the efficiency assessment. Results: According to the results, mean accuracy, sensitivity, and specificity of the proposed system were 90.1%, 89.09% and 91.3% respectively. These values were higher in comparison with each of the participated classifiers in the combination. Moreover, in comparison to the similar studies, this method showed higher accuracy for the diagnosis of coronary artery disease. Conclusion: The results of this research indicates that in the studied population, the proposed method has better accuracy in the diagnosis of coronary heart disease. This method, as an expert system, can help clinicians in making decisions, reducing clinical errors, improving the time to get a diagnostic through reducing waiting time and reducing unnecessary medical tests.}, Keywords = {Coronary artery disease, Expert system, Medical diagnosis, Dempster-Shafer theory, Classification}, volume = {3}, Number = {4}, pages = {251-258}, publisher = {دانشگاه علوم پزشکی کرمان}, url = {http://jhbmi.ir/article-1-163-en.html}, eprint = {http://jhbmi.ir/article-1-163-en.pdf}, journal = {Journal of Health and Biomedical Informatics}, issn = {2423-3870}, eissn = {2423-3498}, year = {2017} } @article{ author = {Ghazisaeedi, Marjan and Tansaz, Mojgan and Shahmoradi, Leila and Nasiri, Alireza and Tahmasebi, Farideh and Sahraei, Zohreh}, title = {Electronic Record for Infertile Patients Based on Traditional Medicine Approach}, abstract ={Introduction: Electronic records can be used as one of the key technologies in health care field. Electronic record, with its several capabilities, is an efficient tool for documentation, information exchange and cooperation of health care organizations. The aim of this study was to design an electronic record based on the traditional medicine approach for infertile patients. Methods: The present study was an applied- development research. First, information requirements questionnaire was filled out by 20 traditional medicine specialists and the obtained data were analyzed through SPSS22 software. Then, a system based on data was designed and given to 10 traditional medicine specialists for evaluation of its practical use and patients’ satisfaction rate. Results: A majority of data elements in the questionnaire were found necessary by the respondents and in relation to practical use, it gained mean score of 8.6 (out of 9). The designed system, in addition to providing data storage, retrieval and reporting is capable of changing the used data, creating new forms and displaying items with different sizes and types according to the user’s comments and without any need for programming. Conclusion: According to the obtained results, the electronic medical record designed based on traditional medicine approach was an effective step in managing health data of infertile patients. Designing electronic record based on traditional medicine approach for infertile patient’s increases efficient performance, function, storage and retrieval of health data.  }, Keywords = {Electronic Records, Infertility, Traditional medicine }, volume = {3}, Number = {4}, pages = {259-271}, publisher = {دانشگاه علوم پزشکی کرمان}, url = {http://jhbmi.ir/article-1-157-en.html}, eprint = {http://jhbmi.ir/article-1-157-en.pdf}, journal = {Journal of Health and Biomedical Informatics}, issn = {2423-3870}, eissn = {2423-3498}, year = {2017} } @article{ author = {NorouzzadehRavari, Maryam and Sattari-Naeini, Vahi}, title = {Multilevel Entity-Based Approach for Medical Diagnosis Support Systems Using Semantic Web Technology for Diagnosis of Diseases with Common Symptom of Chest Pain}, abstract ={Introduction: Decision making Support Systems, along with Semantic Web technology, develop a new approach to help physicians in the diagnosis of a variety of illnesses. On the other hand, medical ontology is a knowledge model of clinical domain including all the concepts related to the diagnosis, treatment, clinical procedures and patient data. Methods: In this developmental-applied study, a system for the diagnosis of diseases in various fields of medicine based on the chest pain as a common symptom has been developed. Various symptoms, diagnostic tests and also the intervening nature of disease, meaning that one disease could be a diagnostic symptom of another disease, have been considered in this system and by applying it, real data of patients hospitalized in Shafa hospital in Kerman/ Iran have been studied through Protege software and program language based on Jena rule. Results: The proposed method was compared to conventional and multilevel methods in regard to the disease diagnosis and the number of required rules. The proposed method, as opposed to the conventional method, is capable of detecting disease at the most inner level. Furthermore the proposed multi-level and entity-related method is capable of detecting disease by means of just seven rules even in the worst cases. Conclusion: Multilevel entity-based approach accompanied with semantic technology is an effective approach in medical diagnosis systems.    }, Keywords = {Decision Support Systems, Semantic Web, Medical ontology, Rule inference, Medical diagnostics}, volume = {3}, Number = {4}, pages = {272-286}, publisher = {دانشگاه علوم پزشکی کرمان}, url = {http://jhbmi.ir/article-1-165-en.html}, eprint = {http://jhbmi.ir/article-1-165-en.pdf}, journal = {Journal of Health and Biomedical Informatics}, issn = {2423-3870}, eissn = {2423-3498}, year = {2017} } @article{ author = {SabbaghGol, Hame}, title = {Detection of Coronary Artery Disease Using C4.5 Decision Tree}, abstract ={Introduction: Today, one of the most common diseases and causes of death in the world is heart diseases. Data mining techniques are very useful to create predictive models for identifying people at risk and decreasing the disease complications. In this study, using C4.5 decision tree method, the prevention and diagnosis of this disease are discussed. Methods: This was an applied descriptive study. UCI standard data and Cleveland data collection were used. The database contains 297 records. Analysis was performed through Weka software and using CRISP3 methodology. The C4.5 decision tree model, using input variables and determining the target variable, was created. Results: According to the applied model, it was found that high levels of cholesterol, sex, age, high maximum heart rate, scan thallium higher than 3 and abnormal ECG have the greatest impact on the risk of coronary heart disease. Furthermore, by using the created decision tree, some rules were extracted that can be used as a model to predict the risk of coronary heart disease. The accuracy of the model created by using decision tree was over 80 percent. Conclusion: According to our calculations, the rate of categorization was 72.6% and the accuracy of C4.5 algorithm was 80.2% that in comparison with the results of studies in the field of data mining of heart diseases, the obtained accuracy for the suggested algorithm is acceptable.  }, Keywords = {Data mining, Coronary artery disease, C4.5 Decision tree.}, volume = {3}, Number = {4}, pages = {287-299}, publisher = {دانشگاه علوم پزشکی کرمان}, url = {http://jhbmi.ir/article-1-172-en.html}, eprint = {http://jhbmi.ir/article-1-172-en.pdf}, journal = {Journal of Health and Biomedical Informatics}, issn = {2423-3870}, eissn = {2423-3498}, year = {2017} } @article{ author = {Ghaffari, Hamidreza and Mosteshari, Mostafa and Mahmoodi, Maryam Sadat}, title = {Designing a System for Detection of Pulmonary Nodules in Lung CT Images Using Support Vector Machine Classifier}, abstract ={Introduction: Detection of pulmonary nodules using CT scan images is one of the methods for early detection of cancer. One of the main challenges for the detection of pulmonary nodules is identifying pulmonary nodules and differentiating them from lung components. In this study, a computer-aided detection system is proposed for the detection of these nodules. Methods: In this descriptive analytical study, 97 chest CT-scan images were studied. To detect pulmonary nodules, support vector machine classifier and Genetic algorithm by MATLAB software were used. Results: In this research on the lung, the areas of images were classified into the two groups of with nodule and without nodule and it was tried to create a fully automated framework to detect lung nodules in the chest CT images. This framework is an essential part of the computer-aided detection system that helps radiologists to detect lung nodules more accurately and rapidly. Conclusion: According to the results of this study, the proposed system is more efficient than the previous methods for detecting suspicious nodules.  }, Keywords = {Pulmonary Nodules, CT Scan Images, Support Vector Machine Classifier}, volume = {3}, Number = {4}, pages = {300-309}, publisher = {دانشگاه علوم پزشکی کرمان}, url = {http://jhbmi.ir/article-1-166-en.html}, eprint = {http://jhbmi.ir/article-1-166-en.pdf}, journal = {Journal of Health and Biomedical Informatics}, issn = {2423-3870}, eissn = {2423-3498}, year = {2017} } @article{ author = {Hadian, Noushin and Sazegar, Hossein and MohamadiFarsani, Farzaneh and Zia, Noush}, title = {Computational Analysis of Interactions between Androgen Receptor and Bicalutamide}, abstract ={Introduction: The majority of drugs act through binding with target proteins. Prediction of the interaction between small molecules and proteins is a key element in the process of drug discovery. Advances in Structural Genomics have provided this possibility to access three-dimensional structures of the proteins which are targeted by drugs. Since laboratory processes through which drug-target protein interactions are investigated require high cost and energy, in silico methods can be used as effective strategies for providing useful information in support of experimental methods. Methods: In this study, the interaction between androgen receptor and Bicalutamide, a widely used drug in the treatment of prostate cancer, was investigated via computational analyses. The docking analysis of this receptor with Bicalutamide was done using Autodock4.2.6 and analysis of complexes was done through LigPlot4.5.3 and Chimera1.5.3. Results: The obtained results showed that amino acid residues Met-895, Trp-741, Arg-752, Ile-899, Leu-707, Gly-708, Gln-711, Met-745, Met-749, Thr-87, Phe-764, and Met-749 (through forming hydrophobic bonds with the drug) and amino acid residues Asn-705 and Leu-704 (through forming hydrogen bonds with the drug) play a significant role in the protein-drug interaction and cause proper positioning of the drug in protein and consequently its efficacy. Conclusion: These results could be used in the future studies for investigation of drug resistance to Bicalutamide and to develop more efficient medicines.}, Keywords = {Androgen receptor, Bicalutamide, Molecular interactions, Drug design}, volume = {3}, Number = {4}, pages = {310-318}, publisher = {دانشگاه علوم پزشکی کرمان}, url = {http://jhbmi.ir/article-1-170-en.html}, eprint = {http://jhbmi.ir/article-1-170-en.pdf}, journal = {Journal of Health and Biomedical Informatics}, issn = {2423-3870}, eissn = {2423-3498}, year = {2017} } @article{ author = {Langarizadeh, Mostafa and Moghbeli, Fateme and Alibeyk, Mohammad Rez}, title = {Using Naïve Bayesian Network in Predicting Diseases: A Systematic Review}, abstract ={Introduction: Due to the improvement of technology during the last decade, using machine learning algorithms for predicting diseases has found great importance. The goal of this research was to investigate the importance of Naïve Bayesian network as the most applied algorithm in predicting diseases and classifying relevant articles related to disease prediction with data mining algorithms. Methods: This was a systematic review study. A comprehensive search was performed from 2007 to 2017 in online databases and search engines including Scopus, Science Direct, web of science and MEDLINE. Results: From a total of 90 identified abstracts through the research, 27 ones were compatible with inclusion and exclusion criteria. Naïve Bayesian network was compared with other algorithms and in 92% of articles (25 articles out of 27), it had better accuracy in disease prediction. Results of this research showed effectiveness of Naïve Bayesian algorithm in disease prediction. Conclusion: Naïve Bayesian network is one of the best algorithms for disease prediction in comparison with experts’ decision and other algorithms. This algorithm can be used beside physicians’ decision to improve the accuracy of disease prediction.  }, Keywords = {Naïve Bayesian algorithm, Predicting disease, Bayesian network}, volume = {3}, Number = {4}, pages = {319-327}, publisher = {دانشگاه علوم پزشکی کرمان}, url = {http://jhbmi.ir/article-1-173-en.html}, eprint = {http://jhbmi.ir/article-1-173-en.pdf}, journal = {Journal of Health and Biomedical Informatics}, issn = {2423-3870}, eissn = {2423-3498}, year = {2017} }