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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Detalles Bibliográficos
Autores principales: Banerjee, Amitava, Chen, Suliang, Fatemifar, Ghazaleh, Zeina, Mohamad, Lumbers, R. Thomas, Mielke, Johanna, Gill, Simrat, Kotecha, Dipak, Freitag, Daniel F., Denaxas, Spiros, Hemingway, Harry
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8022365/
https://www.ncbi.nlm.nih.gov/pubmed/33820530
http://dx.doi.org/10.1186/s12916-021-01940-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8022365/
https://www.ncbi.nlm.nih.gov/pubmed/33820530
http://dx.doi.org/10.1186/s12916-021-01940-7

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