Applications of Machine Learning Approaches in EmergencyMedicine; a Review Article

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Shafaf negin; Malek hamed

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

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Journal: Archives of Academic Emergency Medicine Year:2019 | Volume:7 | Issue:1 Page(s): 0-0

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Information Journal Paper

Title

Applications of Machine Learning Approaches in EmergencyMedicine; a Review Article

Author(s)

Shafaf negin | Malek hamed | Issue Writer Certificate

Keywords

artificial intelligence

machine learning

emergencymedicine

emergency service

hospital

triage

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.

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APA: Copy

Shafaf, negin, & Malek, hamed. (2019). Applications of Machine Learning Approaches in EmergencyMedicine; a Review Article. ARCHIVES OF ACADEMIC EMERGENCY MEDICINE (EMERGENCY), 7(1), 0-0. SID. https://sid.ir/paper/339805/en

Vancouver: Copy

Shafaf negin, Malek hamed. Applications of Machine Learning Approaches in EmergencyMedicine; a Review Article. ARCHIVES OF ACADEMIC EMERGENCY MEDICINE (EMERGENCY)[Internet]. 2019;7(1):0-0. Available from: https://sid.ir/paper/339805/en

IEEE: Copy

negin Shafaf, and hamed Malek, “Applications of Machine Learning Approaches in EmergencyMedicine; a Review Article,” ARCHIVES OF ACADEMIC EMERGENCY MEDICINE (EMERGENCY), vol. 7, no. 1, pp. 0–0, 2019, [Online]. Available: https://sid.ir/paper/339805/en

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