Machine Learning Based Heart Disease Classification

Abstract

Machine Learning classification problem is one of the critical problems in Artificial Intelligence. As heart disease is most crucial disease in the whole world. So it is necessary to develop machine learning algorithm for classification of heart disease. To solve the said problem, in this paper Artificial Intelligence based Heart Diseases Classification by using Evolutionary Deep Learning Paradigm is proposed. It delineates an integrated bioinformatics approach in which different aspects of information from a continuum of structured and unstructured data sources are put together to form the user-friendly platforms for physicians and researchers. The main objective of proposed system is to find probability and diagnosis and treatment of the HEART disease. Artificial Neural Network-based tool for challenges associated with HEART. There are some specification of our platform, it include various form of input data it contains medical as well clinical data which can improve performance of system.