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Comparison of time-to-event machine learning models in predicting biliary complication and mortality...

Comparison of time-to-event machine learning models in predicting biliary complication and mortality...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_5d7cc36c60994c9a88728c86ded9c90d

Comparison of time-to-event machine learning models in predicting biliary complication and mortality rate in liver transplant patients

About this item

Full title

Comparison of time-to-event machine learning models in predicting biliary complication and mortality rate in liver transplant patients

Publisher

London: Nature Publishing Group UK

Journal title

Scientific reports, 2025-02, Vol.15 (1), p.4768-14

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

Post-Liver transplantation (LT) survival rates stagnate, with biliary complications (BC) as a major cause of death. We analyzed longitudinal data with a median 19-month follow-up. BC was diagnosed with ultrasounds and MRCP. Missing data was imputed using mean and median. Data preprocessing involved feature scaling and one-hot encoding. Survival ana...

Alternative Titles

Full title

Comparison of time-to-event machine learning models in predicting biliary complication and mortality rate in liver transplant patients

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_5d7cc36c60994c9a88728c86ded9c90d

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_5d7cc36c60994c9a88728c86ded9c90d

Other Identifiers

ISSN

2045-2322

E-ISSN

2045-2322

DOI

10.1038/s41598-025-89570-4

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