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Machine learning for subtype definition and risk prediction in heart failure, acute coronary syndrom...

Machine learning for subtype definition and risk prediction in heart failure, acute coronary syndrom...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_c43f76bce7114da2bf08f938cc419c3e

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

About this item

Full title

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

Publisher

England: BioMed Central Ltd

Journal title

BMC medicine, 2021-04, Vol.19 (1), p.85-14, Article 85

Language

English

Formats

Publication information

Publisher

England: BioMed Central Ltd

More information

Scope and Contents

Contents

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 of clear criteria. We evaluated ML for subtype definition and...

Alternative Titles

Full title

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

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_c43f76bce7114da2bf08f938cc419c3e

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_c43f76bce7114da2bf08f938cc419c3e

Other Identifiers

ISSN

1741-7015

E-ISSN

1741-7015

DOI

10.1186/s12916-021-01940-7

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