Prediction of Acute Kidney Injury With a Machine Learning Algorithm Using Electronic Health Record Data
Background: A major problem in treating acute kidney injury (AKI) is that clinical criteria for recognition are markers of established kidney damage or impaired function; treatment before such damage manifests is desirable. Clinicians could intervene during what may be a crucial stage for preventing...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2018-06-01
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| Series: | Canadian Journal of Kidney Health and Disease |
| Online Access: | https://doi.org/10.1177/2054358118776326 |