Machine learning model for predicting the optimal depth of tracheal tube insertion in pediatric patients: A retrospective cohort study.
<h4>Objective</h4>To construct a prediction model for optimal tracheal tube depth in pediatric patients using machine learning.<h4>Methods</h4>Pediatric patients aged <7 years who received post-operative ventilation after undergoing surgery between January 2015 and Decembe...
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| Autores principales: | , , , , , |
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| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
Public Library of Science (PLoS)
2021
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/3d545c11ac40473380114d822a14b2e6 |
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