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Machine Intelligence-Driven Forecasting for ED Triage and Dynamic Hospital Patient Routing
2026-02-20
emergency medicine
Title + abstract only
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Overcrowding of emergency departments (ED) is now a problem of global health care concern due to the increase in patients. Triage systems have been established for a considerable period. However, their reliability in choosing the appropriate patient and the level of service has undergone much scrutiny. In this paper, we describe a comprehensive machine learning framework aimed at predicting critical emergency department outcomes and enabling dynamic routing decisions. Through the MIMIC-IV-ED dat...
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