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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...
Autores principales: | Park, Jung-Bin, Lee, Ho-Jong, Yang, Hyun-Lim, Kim, Eun-Hee, Lee, Hyung-Chul, Jung, Chul-Woo, Kim, Hee-Soo |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
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Materias: | |
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 |
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