Clinical and Experimental Medicine· 2026Q1
Development and exploratory external assessment of a machine learning model for early delirium prediction in non–mechanically ventilated patients with sepsis
- 0citations
- Q1SCImago
- 2026year
Short summary
An XGBoost machine learning model developed using electronic health records achieved an AUC of 0.807 for predicting delirium in non-mechanically ventilated sepsis patients, and an AUC of 0.833 in an external validation cohort.
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Critical Care and Intensive Care MedicineMedicine