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AKI-BERT: a Pre-trained Clinical Language Model for Early Prediction of Acute Kidney Injury

AKI-BERT: a Pre-trained Clinical Language Model for Early Prediction of Acute Kidney Injury

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2661731760

AKI-BERT: a Pre-trained Clinical Language Model for Early Prediction of Acute Kidney Injury

About this item

Full title

AKI-BERT: a Pre-trained Clinical Language Model for Early Prediction of Acute Kidney Injury

Publisher

Ithaca: Cornell University Library, arXiv.org

Journal title

arXiv.org, 2022-05

Language

English

Formats

Publication information

Publisher

Ithaca: Cornell University Library, arXiv.org

More information

Scope and Contents

Contents

Acute kidney injury (AKI) is a common clinical syndrome characterized by a sudden episode of kidney failure or kidney damage within a few hours or a few days. Accurate early prediction of AKI for patients in ICU who are more likely than others to have AKI can enable timely interventions, and reduce the complications of AKI. Much of the clinical inf...

Alternative Titles

Full title

AKI-BERT: a Pre-trained Clinical Language Model for Early Prediction of Acute Kidney Injury

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2661731760

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2661731760

Other Identifiers

E-ISSN

2331-8422

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