An Integrated Framework for the Design of Medical Diagnostic System

Abstract

Medical diagnostic system plays very important role in taking critical decisions in time. As medical is one of most life critical fields and delay in detection of some diseases can risk the life of patient, a reliable system is needed which can help experts to detect diseases in time and take critical decisions to save lives. In this research a method is proposed which uses multiple classifiers at multiple levels to get highly accurate results. Main aim of this research is to achieve higher level of accuracy of diagnostic system to make it more reliable for medical experts to get assistance in taking decisions. A number of techniques have already been proposed to develop diagnostic system for medical data, but as medical is a life critical field researchers are trying to design more and more reliable system. This research is being carried out to design a generic diagnostic system which can be used to detect maximum number of diseases