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State‐of‐the‐art machine learning improves predictive accuracy of 1‐year survival after heart transp...

State‐of‐the‐art machine learning improves predictive accuracy of 1‐year survival after heart transp...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_58be8a656cec4004bf57d3b0620b6c43

State‐of‐the‐art machine learning improves predictive accuracy of 1‐year survival after heart transplantation

About this item

Full title

State‐of‐the‐art machine learning improves predictive accuracy of 1‐year survival after heart transplantation

Publisher

England: John Wiley & Sons, Inc

Journal title

ESC Heart Failure, 2021-08, Vol.8 (4), p.3433-3436

Language

English

Formats

Publication information

Publisher

England: John Wiley & Sons, Inc

More information

Alternative Titles

Full title

State‐of‐the‐art machine learning improves predictive accuracy of 1‐year survival after heart transplantation

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_58be8a656cec4004bf57d3b0620b6c43

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_58be8a656cec4004bf57d3b0620b6c43

Other Identifiers

ISSN

2055-5822

E-ISSN

2055-5822

DOI

10.1002/ehf2.13425

How to access this item