Web based medical decision support system application of Coronary Heart Disease diagnosis with Boolean functions minimization method |
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| Authors: | Fatih Başçiftçi Hayri İncekara |
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| Affiliation: | 1. Department of Electronics and Computer Education, Technical Education Faculty, Selcuk University, 42003 Selçuklu, Konya, Turkey;2. Graduate School of Natural and Applied Sciences, Selcuk University, 42003 Selçuklu, Konya, Turkey;1. Shenyang Jianzhu University, Liaoning, Shenyang 110168, China;2. Northeastern University, Liaoning, Shenyang 110819, China;3. Key Laboratory of Medical Image Computing (Northeastern University), Ministry of Education, China;1. Department of Neurology and Joseph Sagol Neuroscience Center, Sheba Medical Center, Sackler Faculty of Medicine, Tel Aviv University, Tel Hashomer 52621, Israel;2. Department of Physiology and Pharmacology, Sackler Faculty of Medicine, Tel Aviv University, Israel;3. The Talpiot Medical Leadership Program, Sheba Medical Center, Israel;4. Department of Anatomy and Anthropology, Sackler Faculty of Medicine, Tel Aviv University, Israel;1. Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina;3. Department of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina;4. Department of Clinical Epidemiology, Aarhus University Hospital, Aarhus, Denmark |
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| Abstract: | Heart and vein diseases are one of the most important health problems. The number of the people who died of heart and vein diseases is more than the number of the people who died of all other health problems and natural disasters. In order to decrease this number, the intervention must be started very earlier and people must be informed about this subject. In this study, Medical Expert System has been used all the probabilities of CHD has been determined (9 symptoms, 29 = 512 different occasions) and from these probabilities, an accuracy table has been formed. This accuracy table has been simplified with the Boolean functions simplifying methods. 94 rules have been achieved by the Boolean functions minimization method. The rules achieved have formed the Expert System’s rule base. 303 patients’ values have been compared with the realized Expert System. The Medical Expert System which was formed as a result of the evaluation has evaluated men with 86.5%, women with 84.5% and in general with 86.1% accuracy rate. |
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