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Treatment Recommendations For Clinical Deterioration On The Wards: Development and Validation of Machine Learning Models by arshabyan64 is a document available to read on EtoBox.

What is Treatment Recommendations For Clinical Deterioration On The Wards: Development and Validation of Machine Learning Models about?

This study developed and validated machine learning models to predict the need for 10 common clinical deterioration interventions in general ward patients, utilizing a multicenter dataset of 2480 encounters. The models demonstrated high discriminative performance, with AUROCs ranging from 0.7 to 0.9, and highlighted opportunities to reduce treatment latency for high-risk patients. Overall, the findings suggest that these models can serve as effective clinical decision support tools to improve patient care d

Author

arshabyan64

Language

EN