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   Applications of Machine Learning Approaches in Emergency Medicine; a Review Article  
   
نویسنده shafaf negin ,malek hamed
منبع archives of academic emergency medicine - 2019 - دوره : 7 - شماره : 1 - صفحه:1 -9
چکیده    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.
کلیدواژه artificial intelligence; machine learning; emergency medicine; emergency service ,hospital; triage
آدرس shahid beheshti university, faculty of computer science and engineering, Iran, shahid beheshti university, faculty of computer science and engineering, Iran
پست الکترونیکی h_malek@sbu.ac.ir
 
     
   
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