Feature Selection for Classification from Alzheimer’s Disease Medical Data: Acritical Overview

Abstract

In recent years Artificial Intelligence has a great impact for interpret the data which is obtained by the diagnosis of various deadly diseases like Alzheimer's, Cardiovascular disease, and various types of Cancer. The various algorithms in machine learning help us to minimize errors and to give more accuracy in diagnosis. The recent development in feature selection and classification from Alzheimer disease dataset is briefly described. This paper concentrates on feature selection algorithms and classification techniques for the same.