Back to Search Start Over

Applications of Machine Learning Approaches in Emergency Medicine; a Review Article

Authors :
Negin Shafaf
Hamed Malek
Source :
Archives of Academic Emergency Medicine, Vol 7, Iss 1 (2019)
Publication Year :
2019
Publisher :
Shahid Beheshti University of Medical Sciences, 2019.

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.

Details

Language :
English
ISSN :
26454904
Volume :
7
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Archives of Academic Emergency Medicine
Publication Type :
Academic Journal
Accession number :
edsdoj.f593e5f26dd7435584ec59e8f91fef46
Document Type :
article
Full Text :
https://doi.org/10.22037/aaem.v7i1.410