Framework for a Genetic-Neuro-Fuzzy Inferential System for Diagnosis of Diabetes Mellitus
Journal Title: Annals. Computer Science Series - Year 2018, Vol 16, Issue 1
Abstract
One of the most dangerous diseases in the modern society is diabetes mellitus and it is not only a medical problem but also a socio-economy. Artificial Intelligence techniques have been successfully employed in diabetes disease diagnosis, risk evaluation, patient monitoring, and medicine. Using single techniques in diagnosis of diabetes has been comprehensively investigated showing some level of accuracy. Researchers have investigated the effect of hybridizing more than one technique to show enhance results in the diagnosis of diabetes. However, using the combination of two or more technique to identify a suitable treatment for diagnosis of diabetes patients has received less attention. Therefore, in this work, a framework for three intelligent approaches will be used to develop an expert system using Genetic, Neural network and Fuzzy logic techniques. The framework will further be used to diagnosis and management of Diabetes Mellitus and compare the model with existing work to determine it performance.
Authors and Affiliations
Idowu Dauda OLADIPO, Abdulrauph Olanrewaju BABATUNDE
Keywords
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