This document summarizes a study that used data mining techniques to explore abnormal diagnoses in emergency department triage. The study analyzed patient data from an emergency department in Taiwan to identify correlations between triage levels and diagnoses. Using hierarchical and partitioning clustering, the study established clusters of abnormal diagnosis patterns. Decision trees were also used to improve consistency in triage decisions and provide more objective triage guidelines. The goal was to apply data mining to enhance triage accuracy and patient management in emergency situations.
Abnormal Diagnosis Of Emergency Department Triage Explored With
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2. TRIAGE Triage is used in medical emergencies, as a system to sort the injured so that the greatest number of patients can be helped. In medical emergency situations where there are more injured people than there are medical resources to care for them, triage allows doctors or other health care professionals to decide which people can be helped the most, and how to help them efficiently.
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