Dynamic prediction of hypoxemia risk at different time points based on preoperative and intraoperative features: machine learning applications in outpatients undergoing esophagogastroduodenoscopy

BACKGROUND: Hypoxemia often occurs in outpatients undergoing anesthesia-assisted esophagogastroduodenoscopy (EGD). However, there is a scarcity in tools to predict the hypoxemia risk. We aimed to solve this problem by developing and validating machine learning (ML) models based on preoperative and i...

Descripción completa

Detalles Bibliográficos
Autores principales: Fang, Zhaojing, Zou, Daizun, Xiong, Weigen, Bao, Hongguang, Zhao, Xiuxiu, Chen, Chen, Si, Yanna, Zou, Jianjun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2023
Materias:
Anesthesiology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10161946/
https://www.ncbi.nlm.nih.gov/pubmed/37140918
http://dx.doi.org/10.1080/07853890.2023.2187878

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10161946/
https://www.ncbi.nlm.nih.gov/pubmed/37140918
http://dx.doi.org/10.1080/07853890.2023.2187878

Ejemplares similares