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 ...
Engineers have developed a new way to monitor how tiny lab-grown human heart tissues beat—by effectively "listening" to the ...
OCHIN researchers describe project designed to improve risk estimates by combining clinical information with patients’ lived ...
Right ventricular dysfunction (RVD) is prevalent in 41.7% of patients with heart failure with preserved ejection fraction ...