Application of Discriminant Analysis in Medical Diagnosis

Abstract

Discriminant analysis is a commonly used statistical method. By establishing a discriminant function, the category attribution of the unknown sample is judged. Discriminant analysis has a very wide range of applications in medical diagnosis. Through the specific medical case, the author use the Mahalanobis distance discrimination method and Bayes discriminant method to deal with the data and give the results. Finally, it is given that an optimization method using discriminant analysis and data processing.