Heart Disease Prediction

Heart Disease Prediction

Guide: YOGITA SACHIN NARULE

Yogesh Jadhav, Hritik Kamble, Kanshik Wali, Abhishek Kharinar, Dattatray Kharat

Department of Multidisciplinary Engineering,

Vishwakarma Institute of Technology, Pune,

411037, Maharashtra, India

1.    Abstract:

The human heart is the principal part of the human body. It regulates blood flow throughout our body. In today’s world, approximately one person dies per minute due to one disease i.e., heart disease. A healthy lifestyle and the earliest detection are the only ways to prevent heart-related diseases. It is seen that many people die at early age, and this is due to change in the lifestyle of the person, also many users are detecting this after a long time which sometimes get too late to save the patient so we tried to make a project that would help the people to remain updated about their health and can save their life is disease is predicted. For efficient heart disease prediction with greater accuracy various Machine Learning models are used i.e., logical regression, linear regression, KNN, etc., and many more. This research paper focuses on the solution to solve this problem.