The Lancet

Machine learning prediction of 1-year mortality in older patients with heart failure: a nationwide, multicenter, prospective cohort study

A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...
IEEE

Enhancing Heart Attack Risk Prediction with Ensemble Machine Learning and Feature Engineering

heart disease continues to be the principal reason behind global deaths which imposes serious healthcare system complications. An innovative approach using ensemble machine learning models with ...
BMJ

Machine learning methods, applications and economic analysis to predict heart failure hospitalisation risk: a scoping review

Background Machine Learning (ML) has been transformative in healthcare, enabling more precise diagnostics, personalised treatment regimens and enhanced patient care. In cardiology, ML plays a crucial ...
IEEE

Heart Attack Prediction by Integrating Independent Component Analysis with Machine Learning Classifiers

Abstract: Detecting heart attack conditions at an early stage is crucial for healthcare, making innovative solutions that contribute to prevention and overall health improvement imperative. Machine ...