Machine Learning-Based Text Analysis to Predict Severely Injured Patients in Emergency Medical Dispatch: Model Development and Validation
Journal
Journal of medical Internet research
Journal Volume
24
Journal Issue
6
Date Issued
2022
Author(s)
Chin, Kuan-Chen
Cheng, Yu-Chia
Sun, Jen-Tang
Ou, Chih-Yen
Hu, Chun-Hua
Tsai, Ming-Chi
Abstract
Early recognition of severely injured patients in prehospital settings is of paramount importance for timely treatment and transportation of patients to further treatment facilities. The dispatching accuracy has seldom been addressed in previous studies.
Subjects
Bernoulli naïve Bayes; dispatcher; emergency medical dispatch; emergency medical service; frequency–inverse document frequency; machine learning; trauma
SDGs
Type
journal article