Interpretable machine learning model for early prediction of acute kidney injury in patients with rhabdomyolysis
Abstract. Background. Rhabdomyolysis (RM) is a complex set of clinical syndromes. RM-induced acute kidney injury (AKI) is a common illness in war and military operations. This study aimed to develop an interpretable and generalizable model for early AKI prediction in patients with RM. Methods. Retro...
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| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wolters Kluwer Health/LWW
2024-12-01
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| Series: | Emergency and Critical Care Medicine |
| Online Access: | http://journals.lww.com/10.1097/EC9.0000000000000126 |
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