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Machine learning for subtype definition and risk prediction in heart failure, acute coronary syndromes and atrial fibrillation: systematic review of validity and clinical utility
BACKGROUND: Machine learning (ML) is increasingly used in research for subtype definition and risk prediction, particularly in cardiovascular diseases. No existing ML models are routinely used for cardiovascular disease management, and their phase of clinical utility is unknown, partly due to a lack...
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| Publicat a: | BMC Med |
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| Autors principals: | , , , , , , , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
BioMed Central
2021
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8022365/ https://ncbi.nlm.nih.gov/pubmed/33820530 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12916-021-01940-7 |
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