A STUDY OF EXPERT SYSTEM FOR DETECTION OF VARIOUS DISEASES

Abstract

In the field of medical regularly handles enormous amounts of data. Handling huge data by conventional methods can affect the results. Algorithms for machine learning can be used to find out facts in medical research, in particular for disease prediction. Expert System with artificial intelligence technology, Data mining technology has also been extensively developed, which has promoted the development of for detection and diagnosis of different diseases. The purpose this study aims to know the detection of brain, heart, kidney etc with the help of different algorithms such as Feedforward Backpropagation, Support Vector Machine, Generalized Regression Neural Network, Radial Basis Function and association rules in data mining. This study introduces the above neural network techniques in detail and experiments on medical data collected from hospital. The experimental results show that the some neural network techniques will detect the disease based on medical data collected from hospital and recommend medicine. Applying neural network techniques and data mining techniques based medical data disease detection has greatly improved the level of medical detections and understandings.