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Smart emergency care: a narrative review of predictive machine learning models
2
Zitationen
7
Autoren
2025
Jahr
Abstract
ML is reshaping predictive modeling in the ED, offering timely, data-driven support for clinical decision-making. Despite challenges, advancements in personalized and explainable models hold the potential to increase trust and usability in clinical workflows. Critical gaps remain in addressing data quality issues, standardising evaluation metrics, and conducting multi-centre validation studies.
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