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.

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.

The time of prediction was set to day 10 post-transplantation to allow for the use of data during the 10-day period; thus, deaths and discharges from the hospital before day 10 post-HCT, in addition ...