Development and Validation of a Simplified Prehospital Triage Model Using Neural Network to Predict Mortality in Trauma Patients: The Ability to Follow Commands, Age, Pulse Rate, Systolic Blood Pressure and Peripheral Oxygen Saturation (CAPSO) Model

Objective: Most trauma scoring systems with high accuracy are difficult to use quickly in field triage, especially in the case of mass casualty events. We aimed to develop a machine learning model for trauma mortality prediction using variables easy to obtain in the prehospital setting. Methods: Thi...

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Detalles Bibliográficos
Autores principales: Li, Yun, Wang, Lu, Liu, Yuyan, Zhao, Yan, Fan, Yong, Yang, Mengmeng, Yuan, Rui, Zhou, Feihu, Zhang, Zhengbo, Kang, Hongjun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8709125/
https://www.ncbi.nlm.nih.gov/pubmed/34957169
http://dx.doi.org/10.3389/fmed.2021.810195

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8709125/
https://www.ncbi.nlm.nih.gov/pubmed/34957169
http://dx.doi.org/10.3389/fmed.2021.810195

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