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A model-agnostic approach for understanding heart failure risk factors

A model-agnostic approach for understanding heart failure risk factors

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_25c5c22e25f44d5cb9cddeef7e8b2241

A model-agnostic approach for understanding heart failure risk factors

About this item

Full title

A model-agnostic approach for understanding heart failure risk factors

Publisher

England: BioMed Central Ltd

Journal title

BMC research notes, 2021-05, Vol.14 (1), p.184-184, Article 184

Language

English

Formats

Publication information

Publisher

England: BioMed Central Ltd

More information

Scope and Contents

Contents

Understanding the risk factors for developing heart failure among patients with type 2 diabetes can contribute to preventing deterioration of quality of life for those persons. Electronic health records (EHR) provide an opportunity to use sophisticated machine learning models to understand and compare the effect of different risk factors for develo...

Alternative Titles

Full title

A model-agnostic approach for understanding heart failure risk factors

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_25c5c22e25f44d5cb9cddeef7e8b2241

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_25c5c22e25f44d5cb9cddeef7e8b2241

Other Identifiers

ISSN

1756-0500

E-ISSN

1756-0500

DOI

10.1186/s13104-021-05596-7

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