期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2014
卷号：5
期号：4
页码：4986-4989
出版社：TechScience Publications
摘要：Artificial Intelligence techniques have been successfully employed in disease diagnosis, disease risk evaluation, patient monitoring, robotic handling of surgeries and predicting effect of new medicines. This paper proposes and evaluates Genetic Neuro Fuzzy System for diagnosing Hypertension risk. Risk factors viz. Systolic and Diastolic Blood Pressure, Body Mass Index, Heart Rate, Cholesterol, Glucose, Blood Urea, Creatinine and Uric Acid have been taken as inputs to the system. The system classifies the input samples into Low, Medium and High risk samples. The results of proposed system have been compared with Neuro Fuzzy System in terms of Accuracy, Mean Square Error and Regression and found better.
关键词：Hypertension Diagnosis; Neuro-Fuzzy System;Genetic Algorithm; Optimization of Back Propagation;Network
