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

Volume: 5

Parent Publication: The Lancet. Digital health

Issue: 6

ISSN: 2589-7500