Predicting Intraoperative Hypothermia Burden during Non-Cardiac Surgery: A Retrospective Study Comparing Regression to Six Machine Learning Algorithms

Predicting Intraoperative Hypothermia Burden during Non-Cardiac Surgery: A Retrospective Study Comparing Regression to Six Machine Learning Algorithms

Background: Inadvertent intraoperative hypothermia is a common complication that affects patient comfort and morbidity. As the development of hypothermia is a complex phenomenon, predicting it using machine learning (ML) algorithms may be superior to logistic regression. Methods: We performed a sing...

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Bibliographic Details
Main Authors: Christoph Dibiasi, Asan Agibetov, Lorenz Kapral, Sebastian Zeiner, Oliver Kimberger
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Journal of Clinical Medicine
Subjects:
anesthesia
surgery
hypothermia
prediction
machine learning
Online Access:https://www.mdpi.com/2077-0383/12/13/4434

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