Predicting Intensive Care Unit Length of Stay After Cardiac Surgery
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Litton, Edward; McCann, Michael; Van Haren, Frank
Description
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
| Collections | ANU Research Publications |
|---|---|
| Date published: | 2018 |
| Type: | Journal article |
| URI: | http://hdl.handle.net/1885/220001 |
| Source: | Journal of Cardiothoracic and Vascular Anesthesia |
| DOI: | 10.1053/j.jvca.2018.04.010 |
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| File | Description | Size | Format | Image |
|---|---|---|---|---|
| 01_Litton_Predicting_Intensive_Care_Unit_2018.pdf | 76.36 kB | Adobe PDF | Request a copy |
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