Applications and Performance of Machine Learning Algorithms in Emergency Medical Services: A Scoping Review.

Abstract

Authors

• Ahmad Alrawashdeh
  Department of Allied Medical Sciences, Jordan University of Science and Technology, Irbid, Jordan.
• Saeed Alqahtani
  Department of Clinical Pharmacy, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia.
• Zaid I Alkhatib
  Department of Allied Medical Sciences, Jordan University of Science and Technology, Irbid, Jordan.
• Khalid Kheirallah
  Department of Public Health and Family Medicine, Faculty of Medicine, Jordan University of Science and Technology, Irbid, Jordan.
• Nebras Y Melhem
  Department of Anatomy, Physiology and Biochemistry, Faculty of Medicine, The Hashemite University, Zarqa, Jordan.
• Mahmoud Alwidyan
  Department of Allied Medical Sciences, Jordan University of Science and Technology, Irbid, Jordan.
• Arwa M Al-Dekah
  Department of Biotechnology and Genetic Engineering, Jordan University of Science and Technology Faculty of Science and Art, Irbid, Jordan.
• Talal Alshammari
  Department of Emergency Medical Care, College of Applied Medical Sciences, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.
• Ziad Nehme
  Ambulance Victoria, Melbourne, Victoria, Australia; Department of Paramedicine, Monash University, Melbourne, Victoria, Australia.

Keywords

External Resources