A data-driven artificial intelligence model for remote triage in the prehospital environment.

A data-driven artificial intelligence model for remote triage in the prehospital environment.

In a mass casualty incident, the factors that determine the survival rate of injured patients are diverse, but one of the key factors is the time for triage. Additionally, the main factor that determines the time of triage is the number of medical personnel. However, when relying on a small number o...

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Bibliographic Details
Main Authors: Dohyun Kim, Sungmin You, Soonwon So, Jongshill Lee, Sunhyun Yook, Dong Pyo Jang, In Young Kim, Eunkyoung Park, Kyeongwon Cho, Won Chul Cha, Dong Wook Shin, Baek Hwan Cho, Hoon-Ki Park
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2018-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC6198975?pdf=render

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http://europepmc.org/articles/PMC6198975?pdf=render

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