Design and Implementation of Heart Disease Prediction Application using Machine Learning

Author(s)	Ayush D. Mendhe, Dr. Vilas P. Mahatme, Sahil S. Betal, Karishma S. Tawar, Ritika S. Dayama
Country	India
Abstract	Heart disease is a major health problem worldwide and it's essential to find ways to detect it early so thatpeople can get treatment and save lives. This project uses smart computer programs, called machinelearning, to create a system that can predict whether a person is at risk of heart disease. Main goal of thisproject is to build a reliable and accurate model that could help doctors make better and faster decision.To do this, used a high-quality dataset that included a lot of important health information, such as apatient's age, cholesterol levels, chest pain types and blood pressure.
Keywords	Heart Disease, Machine Learning, Predictive Model, Healthcare, Logistic Regression, Decision Tree.
Published In	Volume 7, Issue 3, May-June 2026
Published On	2026-05-28

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