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Using machine learning to predict venous thromboembolism and major bleeding events following total j...

Using machine learning to predict venous thromboembolism and major bleeding events following total j...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_4f557c047b76458a8d4a39b0553b9972

Using machine learning to predict venous thromboembolism and major bleeding events following total joint arthroplasty

About this item

Full title

Using machine learning to predict venous thromboembolism and major bleeding events following total joint arthroplasty

Publisher

London: Nature Publishing Group UK

Journal title

Scientific reports, 2023-02, Vol.13 (1), p.2197-11, Article 2197

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

Venous thromboembolism (VTE) and major bleeding (MBE) are feared complications that are influenced by numerous host and surgical related factors. Using machine learning on contemporary data, our aim was to develop and validate a practical, easy-to-use algorithm to predict risk for VTE and MBE following total joint arthroplasty (TJA). This was a sin...

Alternative Titles

Full title

Using machine learning to predict venous thromboembolism and major bleeding events following total joint arthroplasty

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_4f557c047b76458a8d4a39b0553b9972

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_4f557c047b76458a8d4a39b0553b9972

Other Identifiers

ISSN

2045-2322

E-ISSN

2045-2322

DOI

10.1038/s41598-022-26032-1

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