Predicting Hypoxia Using Machine Learning: Systematic Review.

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作者： Lena,Pigat ^[1] ; Benjamin P,Geisler ^[1] ; Seyedmostafa,Sheikhalishahi ^[1] ; Julia,Sander ^[1] ; Mathias,Kaspar ^[1] ; Maximilian,Schmutz ^[1] ; Sven Olaf,Rohr ^[2] ; Carl Mathis,Wild ^[1] ; Sebastian,Goss ^[1] ; Sarra,Zaghdoudi ^[3] ; Ludwig Christian,Hinske ^[1]

作者单位： Digital Medicine, University Hospital of Augsburg, Augsburg, Germany. ^[1] Hematology and Oncology, University Hospital of Augsburg, Augsburg, Germany. ^[2] Gynecology and Obstetrics, University Hospital of Augsburg, Augsburg, Germany. ^[3] Department of Anaesthesiology, LMU University Hospital, LMU Munich, Munich, Germany. ^[4]

关键词 anoxia artificial intelligence deterioration hospital hypoxemia hypoxia hypoxic machine learning oxygen predict prediction predictive review methodology review methods systematic systematic review

DOI 10.2196/50642

PMID 38329094

发布时间 2024-02-23

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JMIR medical informatics

2024年12卷

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Predicting Hypoxia Using Machine Learning: Systematic Review.

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Predicting Hypoxia Using Machine Learning: Systematic Review.

JMIR medical informatics

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JMIR medical informatics

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