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:: Volume 3, Number 4 (3-2017) ::
2017, 3(4): 319-327 Back to browse issues page
Using Naïve Bayesian Network in Predicting Diseases: A Systematic Review
Mostafa Langarizadeh, Fateme Moghbeli , Mohammad Reza Alibeyk
Ph.D. Student in Medical Informatics, Health Information Management Dept., School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran.
Abstract:   (264 Views)
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
Full-Text [PDF 844 kb]   (211 Downloads)    
Type of Study: Narrative review articles | Subject: Special
Received: 2016/12/31 | Accepted: 2017/02/14
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Langarizadeh M, Moghbeli F, Alibeyk M R. Using Naïve Bayesian Network in Predicting Diseases: A Systematic Review. Journal of Health and Biomedical Informatics. 2017; 3 (4) :319-327
URL: http://jhbmi.ir/article-1-173-en.html
Volume 3, Number 4 (3-2017) Back to browse issues page
مجله انفورماتیک سلامت و زیست پزشکی Journal of Health and Biomedical Informatics
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