Development of a prediction model for hypotension after induction of anesthesia using machine learning.
Arterial hypotension during the early phase of anesthesia can lead to adverse outcomes such as a prolonged postoperative stay or even death. Predicting hypotension during anesthesia induction is complicated by its diverse causes. We investigated the feasibility of developing a machine-learning model...
Main Authors: | Ah Reum Kang, Jihyun Lee, Woohyun Jung, Misoon Lee, Sun Young Park, Jiyoung Woo, Sang Hyun Kim |
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Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2020-01-01
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Series: | PLoS ONE |
Online Access: | https://doi.org/10.1371/journal.pone.0231172 |
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