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Interpretable prediction of 3-year all-cause mortality in patients with chronic heart failure based...

Interpretable prediction of 3-year all-cause mortality in patients with chronic heart failure based...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_9d009d34085f4533996211568fe2f5d8

Interpretable prediction of 3-year all-cause mortality in patients with chronic heart failure based on machine learning

About this item

Full title

Interpretable prediction of 3-year all-cause mortality in patients with chronic heart failure based on machine learning

Publisher

England: BioMed Central Ltd

Journal title

BMC medical informatics and decision making, 2023-11, Vol.23 (1), p.267-267, Article 267

Language

English

Formats

Publication information

Publisher

England: BioMed Central Ltd

More information

Scope and Contents

Contents

The goal of this study was to assess the effectiveness of machine learning models and create an interpretable machine learning model that adequately explained 3-year all-cause mortality in patients with chronic heart failure.
The data in this paper were selected from patients with chronic heart failure who were hospitalized at the First Affiliat...

Alternative Titles

Full title

Interpretable prediction of 3-year all-cause mortality in patients with chronic heart failure based on machine learning

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_9d009d34085f4533996211568fe2f5d8

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_9d009d34085f4533996211568fe2f5d8

Other Identifiers

ISSN

1472-6947

E-ISSN

1472-6947

DOI

10.1186/s12911-023-02371-5

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