Boosting framework via clinical monitoring data to predict the depth of anesthesia

BACKGROUND: Prediction of the depth of anesthesia is a difficult job in the biomedical field. OBJECTIVE: This study aimed to build a boosting-based prediction model to predict the depth of anesthesia based on four clinical monitoring data. METHODS: Boosting is a framework algorithm that is used to t...

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Detalles Bibliográficos
Autores principales: Liu, Yanfei, Lei, Pengcheng, Wang, Yu, Zhou, Jingjie, Zhang, Jie, Cao, Hui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: IOS Press 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9028611/
https://www.ncbi.nlm.nih.gov/pubmed/35124623
http://dx.doi.org/10.3233/THC-THC228045

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9028611/
https://www.ncbi.nlm.nih.gov/pubmed/35124623
http://dx.doi.org/10.3233/THC-THC228045

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