International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences
E-ISSN: 2349-7300Impact Factor - 9.907

A Widely Indexed Open Access Peer Reviewed Online Scholarly International Journal

Call for Paper Volume 12 Issue 3 May-June 2024 Submit your research for publication

Predicting Cardiovascular Disease with Machine Learning

Authors: C. Rajeshkumar, K. Ruba Soundar, M. Vargheese, G. Nallasivan, A. Selvakumar

Country: India

Full-text Research PDF File:   View   |   Download


Abstract: Machine learning has many applications in today's modern environment. In the medical field, there are no exceptions. Predicting the presence of problems in locomotion, cardiac function, and other areas may be greatly aided by machine learning. Such information, if predicted in advance, may provide vital intuitions to physicians, allowing them to tailor their diagnosis and treatment plan to each individual patient. Here, patient records are read from a comma-separated values (CSV) file.

Keywords: Machine Learning, Heart Disease Prediction, Decision Tree Algorithm, Random Forest, Support Vector Machine, Logistic Regression


Paper Id: 230088

Published On: 2023-04-30

Published In: Volume 11, Issue 2, March-April 2023

Cite This: Predicting Cardiovascular Disease with Machine Learning - C. Rajeshkumar, K. Ruba Soundar, M. Vargheese, G. Nallasivan, A. Selvakumar - IJIRMPS Volume 11, Issue 2, March-April 2023.

Share this