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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Detalles Bibliográficos
Autores principales: Dibiasi, Christoph, Agibetov, Asan, Kapral, Lorenz, Zeiner, Sebastian, Kimberger, Oliver
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10342641/
https://www.ncbi.nlm.nih.gov/pubmed/37445469
http://dx.doi.org/10.3390/jcm12134434

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10342641/
https://www.ncbi.nlm.nih.gov/pubmed/37445469
http://dx.doi.org/10.3390/jcm12134434

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