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- Title
The Utility of Machine Learning for Cardiology and Cardiac Surgery Risk Assessment Scores.
- Authors
Mokashi, Suyog; Keane, Martin
- Abstract
Artificial intelligence (AI) has attracted great interest in the world of cardiology and cardiovascular surgery. For simplicity, AI has 3 distinct sectors: machine learning (ML), deep learning, and generative AI. In the case of ML, when calculating cardiovascular risk scores, ML algorithms analyze large, complex datasets (data mining) to predict the risk of morbidity and mortality.
- Subjects
DISEASE risk factors; MORTALITY risk factors; RISK assessment; GENERATIVE artificial intelligence; CARDIOLOGY; PREDICTION models; DATA mining; CARDIOVASCULAR diseases risk factors; MEDICAL research; MACHINE learning; CARDIAC surgery; ALGORITHMS
- Publication
Indian Journal of Clinical Cardiology, 2024, Vol 5, Issue 3, p258
- ISSN
2632-4636
- Publication type
Article
- DOI
10.1177/26324636241258265