We aimed to synthesize existing evidence on predictive machine learning (ML) models for valvular heart disease (VHD) and examine how these models have been applied across clinical tasks, data ...

Risk prediction of cardiac death following percutaneous coronary intervention remains suboptimal in acute myocardial infarction. This study aimed to develop and externally validate an interpretable ...

A new study from the Icahn School of Medicine at Mount Sinai shows that social determinants of health—including environmental conditions, health behaviors, access to resources and social ...

Abstract: This study explores the use of machine learning methods for predicting heart disease using the Heart Disease UCI dataset. Through detailed feature analysis and visualization, we discovered ...

Abstract: Heart disease remains one of the leading causes of death worldwide, making early diagnosis and intervention essential. This study explores the application of machine learning algorithms to ...