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An interpretable artificial neural network model for predicting hypoxemia via an online tool in adult (18–64) patients during esophagogastroduodenoscopy
BACKGROUND: The hypoxemia risk in adult (18–64) patients treated with esophagogastroduodenoscopy (EGD) under sedation often poses a dilemma for anesthesiologists. We aimed to establish an artificial neural network (ANN) model to solve this problem, and introduce the Shapley additive explanations (SH...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
SAGE Publications
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10259111/ https://www.ncbi.nlm.nih.gov/pubmed/37312946 http://dx.doi.org/10.1177/20552076231180522 |