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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...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
SAGE Publications
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6567776/ https://www.ncbi.nlm.nih.gov/pubmed/30913936 http://dx.doi.org/10.1177/0300060519834459 |