Volume 4, Issue 3 (Fall 2017)                   jhbmi 2017, 4(3): 192-200 | Back to browse issues page

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Kohzadi Z, Kohzadi Z, Afrash M, Shahmoradi L. Designing a Fuzzy Logic Intelligence System for Driver's Health Assessment . jhbmi 2017; 4 (3) :192-200
URL: http://jhbmi.ir/article-1-201-en.html
Ph.D. in Medical Informatics, Assistant Professor, Health Information Management Dept., Tehran University of Medical Sciences, Tehran, Iran.
Abstract:   (6353 Views)
Introduction: If driver’s health is not controlled in the community, it might cause the death of healthy people in the best period of their lives in terms of performance, efficiency and health and it imposes a lot of financial cost on the country. The aim of this study was to Design an intelligent systems based on Fuzzy logic to determine the drivers' health condition.  
Methods: In this retrospective study, 350 health records of drivers referred to Ilam Occupational Medical Center were selected. Then, clinical information was collected from driver’s health record as a checklist and considering the criteria of accuracy, sensitivity and specificity and the area under the ROC curve, the proposed model was analyzed. Moreover, Kappa test was used for evaluation of the rate of adjustment of system results with the recorded diagnosis in the medical file. Matlab2013 was used for designing the operative rabbet.  
Results: The specificity, sensitivity and accuracy of the introduced fuzzy model were respectively 87%, 99.3% and 96.9% and kappa rate of 87% showed relatively complete adjustment of the reported rate and the area under Roc curve was calculated as 92.02.
Conclusion: According to the findings of this study, the presented fuzzy system for determining the drivers' health condition can play an important role in helping physicians and can be used in occupational medicine centers for increasing the speed and accuracy and reducing costs.
 
 
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Type of Study: Original Article | Subject: Special
Received: 2017/06/25 | Accepted: 2017/11/2

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