An Approach to Develop Expert Systems in Medical Diagnosis Using Machine Learning Algorithms (Asthma) and A Performance Study

Abstract

Machine Intelligence plays a crucial role in the design of expert systems in medical diagnosis. In Indiamost of the people suffering from some sort of diseases like asthma, diabetics, cancer and many more. Weconsider the disease asthma for diagnosis. The diagnosis of asthma can be done in two ways 1) throughquestionnaire and 2) through clinical data. We considered both approaches to design the expert systemfor diagnosis of asthma. We have chosen some machine learning algorithms such as Context sensitiveauto-associative memory neural network model[1] (CSAMM), Backpropogation model, C4.5 algorithm,Bayesian Network, Particle Swarm Optimization [7]. We present a performance study on thesealgorithms in terms of accuracy and some outstanding characteristics.