Machine learning for subtype definition and risk prediction in heart failure, acute coronary syndromes and atrial fibrillation: systematic review of validity and clinical utility

Abstract 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 t...

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Principais autores:	Amitava Banerjee, Suliang Chen, Ghazaleh Fatemifar, Mohamad Zeina, R. Thomas Lumbers, Johanna Mielke, Simrat Gill, Dipak Kotecha, Daniel F. Freitag, Spiros Denaxas, Harry Hemingway
Formato:	Artigo
Idioma:	Inglês
Publicado:	BMC 2021-04-01
Series:	BMC Medicine
Assuntos:	Cardiovascular disease Machine learning Subtype Risk prediction Informatics Systematic review
Acceso en liña:	https://doi.org/10.1186/s12916-021-01940-7
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