IEEE

A Comparative Analysis on the Prediction of Heart Failure using Machine Learning Algorithms

Abstract: The primary signs and symptoms of cardiovascular diseases, which kill over 17 million people yearly, are heart failure and myocardial infarctions. When the heart cannot pump enough blood to ...
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

Predicting Heart Diseases Using Machine Learning and Different Data Classification Techniques

Abstract: Heart disease (HD), including heart attacks, is a primary cause of death across the world. In the area of medical data analysis, one of the most difficult problems to solve is determining ...
Frontiers

Machine learning prediction of ARDS after heart valve surgery: development and validation in Northwest China

Objective: To develop an AI-based predictive model for acute respiratory distress syndrome (ARDS) following cardiopulmonary bypass (CPB)-assisted heart valve replacement (HVR) to enable early ...
Southern Living

How To Safely Remove Mildew From Washing Machine Seals

Mary Marlowe Leverette is one of the industry’s most highly regarded housekeeping and fabric care experts, sharing her knowledge on efficient housekeeping and textile conservation. She is also a ...