Machine learning-based prediction of intraoperative hypoxemia for pediatric patients

BACKGROUND: Reducing the duration of intraoperative hypoxemia in pediatric patients by means of rapid detection and early intervention is considered crucial by clinicians. We aimed to develop and validate a machine learning model that can predict intraoperative hypoxemia events 1 min ahead in childr...

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Detalles Bibliográficos
Autores principales: Park, Jung-Bin, Lee, Ho-Jong, Yang, Hyun-Lim, Kim, Eun-Hee, Lee, Hyung-Chul, Jung, Chul-Woo, Kim, Hee-Soo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9977036/
https://www.ncbi.nlm.nih.gov/pubmed/36857376
http://dx.doi.org/10.1371/journal.pone.0282303

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9977036/
https://www.ncbi.nlm.nih.gov/pubmed/36857376
http://dx.doi.org/10.1371/journal.pone.0282303

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