Classifying Emergency Patients into Fast-Track and Complex Cases using Machine Learning
Ala Karajeh,
Rasit Eskicioglu
Abstract: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, complicating the optimal handling of all received cases. Therefore, crowded waiting areas and long waiting durations result. In this research, the databases of MIMIC-IV-ED and MIMIC-IV were utilized to obtain records of patients who visited the Beth Israel Deaconess Med… Show more
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