• 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

  • Pages
    9
  • From page
    1
  • To page
    9
  • 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)
  • Serial Year
    2019
  • Record number

    2503499