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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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2021-01-01
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| Series: | PLoS ONE |
| Online Access: | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0257069&type=printable |
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