Predicting Hypoxia Using Machine Learning: Systematic Review

Predicting Hypoxia Using Machine Learning: Systematic Review

Abstract BackgroundHypoxia is an important risk factor and indicator for the declining health of inpatients. Predicting future hypoxic events using machine learning is a prospective area of study to facilitate time-critical interventions to counter patient health deterioration...

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Bibliographic Details
Main Authors: Lena Pigat, Benjamin P Geisler, Seyedmostafa Sheikhalishahi, Julia Sander, Mathias Kaspar, Maximilian Schmutz, Sven Olaf Rohr, Carl Mathis Wild, Sebastian Goss, Sarra Zaghdoudi, Ludwig Christian Hinske
Format: Article
Language:English
Published: JMIR Publications 2024-02-01
Series:JMIR Medical Informatics
Online Access:https://medinform.jmir.org/2024/1/e50642

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https://medinform.jmir.org/2024/1/e50642

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