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Treatment Recommendations for Clinical Deterioration on the Wards: Development and Validation of Machine Learning Models
0
Zitationen
15
Autoren
2026
Jahr
Abstract
We found variability in the discrimination of ML models across tasks and model approaches for predicting lifesaving treatments in patients with clinical deterioration. Overall performance was high, and these models could be paired with early warning scores to provide clinicians with timely and actionable treatment recommendations to improve patient care.
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