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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Detalles Bibliográficos
Autores principales: Kim, Dohyun, You, Sungmin, So, Soonwon, Lee, Jongshill, Yook, Sunhyun, Jang, Dong Pyo, Kim, In Young, Park, Eunkyoung, Cho, Kyeongwon, Cha, Won Chul, Shin, Dong Wook, Cho, Baek Hwan, Park, Hoon-Ki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6198975/
https://www.ncbi.nlm.nih.gov/pubmed/30352077
http://dx.doi.org/10.1371/journal.pone.0206006

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6198975/
https://www.ncbi.nlm.nih.gov/pubmed/30352077
http://dx.doi.org/10.1371/journal.pone.0206006

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