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

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 [classifi...

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Detalles Bibliográficos
Autores principales: Feng, Yan-Nan, Xu, Zhen-Hua, Liu, Jun-Ting, Sun, Xiao-Lin, Wang, De-Qing, Yu, Yang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8142481/
https://www.ncbi.nlm.nih.gov/pubmed/34024283
http://dx.doi.org/10.1186/s40779-021-00326-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8142481/
https://www.ncbi.nlm.nih.gov/pubmed/34024283
http://dx.doi.org/10.1186/s40779-021-00326-3

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