Classifying Emergency Patients into Fast-Track and Complex Cases Using Machine Learning
Ala' Karajeh,
Rasit Eskicioglu
Abstract:Background: Emergency medicine is a lifeline specialty at hospitals that patients head to for various reasons, including serious health problems, traumas, and adventitious conditions. Emergency departments are restricted to limited resources and personnel, which complicates handling all received cases optimally. Therefore, crowded waiting areas and long waiting durations result, which prompts some patients to leave before being examined.
Methods: We utilized the databases (MIMIC-IV-ED and MIMIC-IV) to obtain … Show more
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