A machine learning-based heart disease prediction model (ML-HDPM) that uses various combinations of information and numerous recognized categorization methods.

Researchers use machine learning to predict exercise adherence. ScienceDaily . Retrieved June 11, 2025 from www.sciencedaily.com / releases / 2025 / 04 / 250418112823.htm ...

This study examined the accuracy of machine learning using stress CMR and clinical data to predict 10-year all-cause mortality in patients with suspected or known coronary artery disease, and ...

Hybrid imaging: A 70-year-old patient presented with diffused largely non-calcified disease (centre panel in red) in the left anterior descending (LAD) artery and demonstrated increased 18 F-NaF ...

Sam Friedman, a senior machine learning scientist in the Data Sciences Platform at the Broad, ... ECG-based AI model can predict undiagnosed structural heart disease. May 25, 2022.

A study by scientists shows machine learning models improve prediction of heart disease in women and that sex-specific and patient-specific medicines are future of healthcare.

Now, scientists have used machine learning to build new and improved models, which could especially improve risk prediction for women. They also found that for certain heart conditions, women are ...

After feature selection, modeling was conducted using a 10-fold cross validated boosted ensembles approach, a machine learning algorithm called LogitBoost, to analyze clinical, PET, and CCTA data.