Open Heart

Artificial intelligence-based clustering to identify functional risk phenotypes in heart failure

Background Patients with heart failure (HF) frequently suffer from undetected declines in cardiorespiratory fitness (CRF), which significantly increases their risk of poor outcomes. However, current ...
Scientific Research Publishing

Supervised Machine Learning Predictive Modeling of Survival Times of Malignant Glioma Patients ()

1 Department of Mathematics & Statistical Sciences, Jackson State University, Jackson, MS, USA. 2 Department of Public Health, California State University, Fullerton ...
IEEE

Predictive Maintenance: A Comparative Study of Machine Learning Algorithms in Industrial Applications

Abstract: In an industrial context, monitoring machine conditions is essential to ensure regular production and maintain equipment. Traditional approaches, such as reactive and preventive maintenance, ...
IEEE

A Novel Machine Learning-Optimized Framework for Systematic Analysis of Foundation Models in Healthcare: Comprehensive Algorithm Optimization With Governance-Driven Predictive ...

Abstract: This paper presents an innovative computational framework that combines systematic literature review methodology with machine learning techniques to analyze Foundation Models (FMs) ...