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An artificial neural network model for prediction of hypoxemia during sedation for gastrointestinal endoscopy

OBJECTIVE: This study was designed to assess clinical predictors of hypoxemia and develop an artificial neural network (ANN) model for prediction of hypoxemia during sedation for gastrointestinal endoscopy examination. METHODS: A total of 220 patients were enrolled in this prospective observational...

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Detalhes bibliográficos
Publicado no:J Int Med Res
Main Authors: Geng, Wujun, Tang, Hongli, Sharma, Apurb, Zhao, Yizhou, Yan, Ye, Hong, Wandong
Formato: Artigo
Idioma:Inglês
Publicado em: SAGE Publications 2019
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6567776/
https://ncbi.nlm.nih.gov/pubmed/30913936
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1177/0300060519834459
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