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

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: This...

Full description

Bibliographic Details
Main Authors: Yun Li, Lu Wang, Yuyan Liu, Yan Zhao, Yong Fan, Mengmeng Yang, Rui Yuan, Feihu Zhou, Zhengbo Zhang, Hongjun Kang
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-12-01
Series:Frontiers in Medicine
Subjects:
trauma
in-hospital mortality
prehospital
triage
scoring system
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2021.810195/full

Internet

https://www.frontiersin.org/articles/10.3389/fmed.2021.810195/full

Similar Items