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Predicting Intensive Care Unit Length of Stay After Cardiac Surgery

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Date

2018

Authors

Litton, Edward
McCann, Michael
Van Haren, Frank

Journal Title

Journal ISSN

Volume Title

Publisher

W. B. Saunders Co., Ltd.

Abstract

CLINICAL PREDICTION models calculate the probability of a patient outcome based on a defined set of parameters. For patients undergoing cardiac surgery, clinical prediction models may outperform clinicians in predicting operative mortality and have an established role in benchmarking performance

Description

Keywords

Citation

URI

http://hdl.handle.net/1885/220001

Collections

ANU Research Publications

Source

Journal of Cardiothoracic and Vascular Anesthesia

Type

Journal article

Book Title

Entity type

Access Statement

License Rights

DOI

10.1053/j.jvca.2018.04.010

Restricted until

2099-12-31

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01_Litton_Predicting_Intensive_Care_Unit_2018.pdf (76.36 KB)

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