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Identifying subtypes of heart failure from three electronic health record sources with machine learning: an external, prognostic, and genetic validation study (2023)

First Author: Banerjee A

Attributed to: 'Unlocking therapeutic innovation in heart failure through genomic data science funded by MRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1016/s2589-7500(23)00065-1

PubMed Identifier: 37236697

Publication URI: http://europepmc.org/abstract/MED/37236697

Type: Journal Article/Review

Parent Publication: The Lancet Digital Health

Issue: 6

ISSN: 2589-7500