Application of supervised machine learning algorithms to predict the risk of hidden blood loss during the perioperative period in thoracolumbar burst fracture patients complicated with neurological compromise

BACKGROUND: Machine learning (ML) is a type of artificial intelligence (AI) and has been utilized in clinical research and practice to construct high-performing prediction models. Hidden blood loss (HBL) is prevalent during the perioperative period of spinal treatment and might result in a poor prog...

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Detalles Bibliográficos
Autores principales: Yang, Bo, Gao, Lin, Wang, Xingang, Wei, Jianmin, Xia, Bin, Liu, Xiangwei, Zheng, Peng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Public Health
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9549349/
https://www.ncbi.nlm.nih.gov/pubmed/36225767
http://dx.doi.org/10.3389/fpubh.2022.969919

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9549349/
https://www.ncbi.nlm.nih.gov/pubmed/36225767
http://dx.doi.org/10.3389/fpubh.2022.969919

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