About this document
Machine Learning for Myocardial Infarction Prediction by contactkshitiznow is a document available to read on EtoBox.
This study explores the use of machine learning models to improve the prediction of myocardial infarction, a major cardiovascular disease. Six models were compared, with XGBoost achieving the highest accuracy of 92.72%, highlighting the potential of advanced machine learning techniques in identifying risk factors for heart disease. The research emphasizes the importance of accurate predictions for enhancing healthcare strategies and interventions related to cardiovascular health.
- Author
- contactkshitiznow
- Language
- EN