Identifying subtypes of heart failure with machine learning: external, prognostic and genetic validation in three electronic health record sources with 320,863 individuals (2022)

First Author: Banerjee A

Attributed to: Centre for Health service and Academic Partnership in Translational eHealth Research (CHAPTER) funded by MRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1101/2022.06.27.22276961

Publication URI: http://dx.doi.org/10.1101/2022.06.27.22276961

Type: Preprint