Intelligent prediction of RBC demand in trauma patients using decision tree methods

Intelligent prediction of RBC demand in trauma patients using decision tree methods

Abstract Background The vital signs of trauma patients are complex and changeable, and the prediction of blood transfusion demand mainly depends on doctors’ experience and trauma scoring system; therefore, it cannot be accurately predicted. In this study, a machine learning decision tree algorithm [...

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Bibliographic Details
Main Authors: Yan-Nan Feng, Zhen-Hua Xu, Jun-Ting Liu, Xiao-Lin Sun, De-Qing Wang, Yang Yu
Format: Article
Language:English
Published: BMC 2021-05-01
Series:Military Medical Research
Subjects:
Mathematical model
Intelligent prediction
Decision tree
Non-invasive parameters
Invasive parameters
Trauma
Online Access:https://doi.org/10.1186/s40779-021-00326-3

Internet

https://doi.org/10.1186/s40779-021-00326-3

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