Heart

Anaemia and blood transfusion in cardiac surgery with infective endocarditis

Background Up to half of patients with infective endocarditis (IE) require cardiac surgery. Although anaemia is common, its precise prevalence, transfusion practices and impact on outcomes in ...
Open Heart

Sex differences in the association of social determinants of health and adverse cardiovascular outcomes in patients with atrial fibrillation

Background Despite anticoagulation, patients with atrial fibrillation (AF) experience persistent elevated cardiovascular risk ...
IEEE

Designing of Heart Disease Prediction Model Using Machine Learning Algorithm

Abstract: Heart disease remains one of the leading causes of death worldwide. Effective management and prevention heavily depend on early detection and accurate prediction. However, traditional ...
The New York Times

Controlling Blood Sugar Cut Heart Disease Risk in Half, Study Says

People who brought their blood glucose down to a normal level had a lower risk of death from heart disease or hospitalization for heart failure after 20 years. By Nina Agrawal People with prediabetes ...
Scientific Research Publishing

Heart Disease Prediction: A Logistic Regression Approach ()

1 School of Computing and Data Science, Wentworth Institute of Technology, Boston, USA. 2 Department of Computer Science and Quantitative Methods, Austin Peay State University, Clarksville, USA. 3 ...
Frontiers

Heart disease prediction using hybrid TabNet architecture with stacked ensemble learning

1 Department of Computer Science, National University of Modern Languages (NUML), Islamabad, Pakistan 2 Department of AI and SW, Gachon University, Seongnam, Republic of Korea Cardiovascular diseases ...
Fierce Healthcare

HLTH25: AHA unveils AI Assessment Lab to validate models for heart health

LAS VEGAS—The American Heart Association is launching an AI Assessment Lab in partnership with Dandelion Health to validate predictive AI for cardiovascular conditions and related diseases. The group ...
BMJ

Predicting cardiovascular events from routine mammograms using machine learning

10 The George Institute for Global Health, School of Public Health, Imperial College London, London, UK Background Cardiovascular risk is underassessed in women. Many women undergo screening ...
talker

AI can predict heart attack or stroke in women by scanning this

Artificial intelligence can "accurately" predict the risk of a heart attack or stroke in women by scanning mammograms, reveals new research. A "two-for-one" screening program utilizing the ...
WLRN

'95% accuracy': FIU researchers use artificial intelligence to detect heart disease early

FIU Researchers are training AI to detect heart conditions, like aortic stenosis and heart failure, by analyzing heart sound data to improve early diagnosis and risk prediction. The future of heart ...
IEEE

Heart Disease Prediction in Indonesia Using Machine Learning Techniques for Multiclass Classification

Abstract: This research concentrates on utilizing multiclass classification methodology for heart disease prediction. Specifically, this paper explores the utilization of Support Vector Machine (SVM) ...