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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Enregistré dans:
Détails bibliographiques
Publié dans:BMC Med
Auteurs principaux: Banerjee, Amitava, Chen, Suliang, Fatemifar, Ghazaleh, Zeina, Mohamad, Lumbers, R. Thomas, Mielke, Johanna, Gill, Simrat, Kotecha, Dipak, Freitag, Daniel F., Denaxas, Spiros, Hemingway, Harry
Format: Artigo
Langue:Inglês
Publié: BioMed Central 2021
Sujets:
Research Article
Accès en ligne: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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