Title of article :
Applications of Machine Learning Approaches in Emergency Medicine; a Review Article
Author/Authors :
Shafaf, Negin Shahid Beheshti University, Tehran , Malek, Hamed Shahid Beheshti University, Tehran
Abstract :
Using artificial intelligence and machine learning techniques in different medical fields, especially emergency
medicine is rapidly growing. In this paper, studies conducted in the recent years on using artificial intelligence in
emergency medicine have been collected and assessed. These studies belonged to three categories: prediction
and detection of disease; prediction of need for admission, discharge and also mortality; and machine learning
based triage systems. In each of these categories, the most important studies have been chosen and accuracy
and results of the algorithms have been briefly evaluated by mentioning machine learning techniques and used
datasets.
Keywords :
artificial intelligence , machine learning , emergency medicine , emergency service , hospital , triage
Journal title :
Archives of Academic Emergency Medicine (AAEM)