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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...
Autores principales: | Li, Yun, Wang, Lu, Liu, Yuyan, Zhao, Yan, Fan, Yong, Yang, Mengmeng, Yuan, Rui, Zhou, Feihu, Zhang, Zhengbo, Kang, Hongjun |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
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 |
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