DESIGNING A FUZZY LOGIC INTELLIGENCE SYSTEM FOR DRIVER'S HEALTH ASSESSMENT

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KOHZADI ZAHRA; KOHZADI ZEINAB; AFRASH MOHAMMADREZA; SHAHMORADI LEILA

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Journal: Journal of Health and Biomedical Informatics Year:2017 | Volume:4 | Issue:3 Page(s): 192-200

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Title

DESIGNING A FUZZY LOGIC INTELLIGENCE SYSTEM FOR DRIVER'S HEALTH ASSESSMENT

Author(s)

KOHZADI ZAHRA | KOHZADI ZEINAB | AFRASH MOHAMMADREZA | SHAHMORADI LEILA | Issue Writer Certificate

Keywords

DRIVERS' HEALTH MEASUREMENTQ2

FUZZY INTELLIGENT SYSTEMSQ2

FUZZY LOGICQ1

Abstract

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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APA: Copy

KOHZADI, ZAHRA, KOHZADI, ZEINAB, AFRASH, MOHAMMADREZA, & SHAHMORADI, LEILA. (2017). DESIGNING A FUZZY LOGIC INTELLIGENCE SYSTEM FOR DRIVER'S HEALTH ASSESSMENT. JOURNAL OF HEALTH AND BIOMEDICAL INFORMATICS, 4(3 ), 192-200. SID. https://sid.ir/paper/258897/en

Vancouver: Copy

KOHZADI ZAHRA, KOHZADI ZEINAB, AFRASH MOHAMMADREZA, SHAHMORADI LEILA. DESIGNING A FUZZY LOGIC INTELLIGENCE SYSTEM FOR DRIVER'S HEALTH ASSESSMENT. JOURNAL OF HEALTH AND BIOMEDICAL INFORMATICS[Internet]. 2017;4(3 ):192-200. Available from: https://sid.ir/paper/258897/en

IEEE: Copy

ZAHRA KOHZADI, ZEINAB KOHZADI, MOHAMMADREZA AFRASH, and LEILA SHAHMORADI, “DESIGNING A FUZZY LOGIC INTELLIGENCE SYSTEM FOR DRIVER'S HEALTH ASSESSMENT,” JOURNAL OF HEALTH AND BIOMEDICAL INFORMATICS, vol. 4, no. 3 , pp. 192–200, 2017, [Online]. Available: https://sid.ir/paper/258897/en

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