F. S. Ishaq, Mathematics and Computer Science Department, Federal University of Kashere
L. J. Muhammad, Mathematics and Computer Science Department, Federal University of Kashere
Yahaya B. Z, Mathematics and Computer Science Department, Federal University of Kashere
Abdurrahman Abubakar, Biological Sciences Department, Federal University of Kashere
Diabetes Mellitus (DM) is as disease that occurred due to high level of glucose or absence of amount of insulin in a human body. It causes severe damages to human body which at the end causes sudden death. This study developed an intelligent expert system for diagnosis of the diabetes using fuzzy logic so as to reduce the prevalence of the disease. The system predicts patients who suffer from diabetes type 2 using some demographist risk factor which include age, family history and clinical risk factors which include blood pressure, glucose, cholesterol, triglyceride, high density of lipoprotein and body mass index patients. This study happens to be a pioneered approach that used Nigerian based dataset and it has harnessed data mining C4.5 algorithm to acquire the human knowledge to knowledge base of the system. The system has an overall accuracy of 92.47% with 92.86% specificity and 92.45% sensitivity. The system has both higher capability of detecting both healthy and unhealthy people that are suffering from diabetes type 2, and it has been proved that, it can be relied upon.
Diabetes Mellitus, C4.5, Fuzzy Logic, Data Mining
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APA:
Ishaq, F. S., Muhammad, L. J., Yahaya B. Z., & Abubakar, A. (2020). Fuzzy based Expert System for Diagnosis of Diabetes Mellitus. International Journal of Advanced Science and Technology (IJAST), ISSN: 2005-4238(Print); 2207-6360 (Online), NADIA, 136, 39-50. doi: 10.33832/ijast.2020.136.04.
MLA:
Ishaq, F. S., et al. “Fuzzy based Expert System for Diagnosis of Diabetes Mellitus.” International Journal of Advanced Science and Technology, ISSN: 2005-4238(Print); 2207-6360 (Online), NADIA, vol. 136, 2020, pp. 39-50. IJAST, http://article.nadiapub.com/IJAST/Vol136/4.html.
IEEE:
[1] F. S. Ishaq, L. J. Muhammad, Yahaya B. Z, and A. Abubakar, "Fuzzy based Expert System for Diagnosis of Diabetes Mellitus." International Journal of Advanced Science and Technology (IJAST), ISSN: 2005-4238(Print); 2207-6360 (Online), NADIA, vol. 136, pp. 39-50, Mar 2020.
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