Predicting Cardiovascular Disease with Machine Learning
Authors: C. Rajeshkumar, K. Ruba Soundar, M. Vargheese, G. Nallasivan, A. Selvakumar
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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.