Abstract: The correct diagnosis of heart disease can save lives, while the incorrect diagnosis can be lethal. The UCI machine learning heart disease dataset compares the results and analyses of ...

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 ...

While obesity is a known risk factor for heart disease, a new study showed that the ratio of a person's waist measurement compared to their height is more reliable than body mass index (BMI) at ...

1 Computer Science Department, Babcock University, Ilishan-Remo, Ogun State, Nigeria. 2 Computer Science Department, Adeleke University, Ede, Osun State, Nigeria. 3 Department of Applied Mathematics, ...

A machine learning-powered REST API for predicting the presence of heart disease based on patient clinical data. Built using FastAPI and Dockerized for easy deployment. The final model uses a tuned ...

Researchers from the Radcliffe Department of Medicine at the University of Oxford have published a study looking at how artificial intelligence (AI) could help in the diagnosis of heart disease. The ...

Identification of children with latent rheumatic heart disease (RHD) by echocardiography, before onset of symptoms, provides an opportunity to initiate secondary prophylaxis and prevent disease ...

The global rise in heart disease necessitates precise prediction tools to assess individual risk levels. This paper introduces a novel Multi-Objective Artificial Bee Colony Optimized Hybrid Deep ...

Abstract: Heart Disease is one of the prominent fatal diseases that have caused a colossal amount of deaths over decades. Machine learning an effective domain has been a key factor to solve various ...

A National Institutes of Health-supported study found that high-density lipoprotein (HDL) cholesterol, often called the “good cholesterol,” may not be as effective as scientists once believed in ...