Study: Comprehensive evaluation and performance analysis of machine learning in heart disease prediction.Image Credit: Summit Art Creations/Shutterstock.com. Background. Heart disease is a ...

The machine learning model was trained using real clinical bio-impedance data and values from simulations of the cardiovascular system. Due to the numerous parameters that play a role in the ...

How can diseases of the cardiovascular system be detected before symptoms appear? Researchers at Graz University of Technology (TU Graz) have found a way to track them down at an early stage.

The researchers analyzed existing research on machine learning and cardiovascular disease risk, screening more than 1,600 articles and ultimately focusing on 48 peer-reviewed studies published in ...

Machine learning can accurately predict cardiovascular disease and guide treatment--but models that incorporate social determinants of health better capture risk and outcomes for diverse groups ...

Researchers use machine learning to improve cardiovascular risk assessment. ScienceDaily . Retrieved July 12, 2025 from www.sciencedaily.com / releases / 2024 / 09 / 240918125021.htm ...

Investigating genes associated with heart failure, atrial fibrillation, and other cardiovascular diseases, and predicting disease using machine learning techniques for translational research and ...

More information: Jiawei Zhou et al, Machine Learning Methods in Real-World Studies of Cardiovascular Disease, Cardiovascular Innovations and Applications (2023). DOI: 10.15212/CVIA.2023.0011 ...