Unsupervised Learning for Automated Detection of Coronary Artery Disease Subgroups
Background The promise of precision population health includes the ability to use robust patient data to tailor prevention and care to specific groups. Advanced analytics may allow for automated detection of clinically informative subgroups that account for clinical, genetic, and environmental varia...
Main Authors: | Alyssa M. Flores, Alejandro Schuler, Anne Verena Eberhard, Jeffrey W. Olin, John P. Cooke, Nicholas J. Leeper, Nigam H. Shah, Elsie G. Ross |
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Format: | Article |
Language: | English |
Published: |
Wiley
2021-12-01
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Series: | Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease |
Subjects: | |
Online Access: | https://www.ahajournals.org/doi/10.1161/JAHA.121.021976 |
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