Feature Selection and Classification Algorithms for Chronic Disease Prediction Using Machine Learning Techniques

Abstract

This paper deals the various feature selection and classification algorithms for the prediction of chronic diseases such as diabetes, cardiovascular, kidney hepatitis, hypothyroid, obesity and cancer using the machine learning techniques. The effects of feature selection and the inclusion of the clinical data on chronic disease prediction accuracy are additionally examined. Feature selection is one of the main issues in machine learning algorithms.In high-dimensional data sets, several features are all related, and a few are zero-importance or irrelevant; understanding both of these types of higher dimensional data has become a struggle and also an important issue.