@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}  
}