SWIFT: A deep learning approach to prediction of hypoxemic events in critically-Ill patients using SpO2 waveform prediction.

SWIFT: A deep learning approach to prediction of hypoxemic events in critically-Ill patients using SpO2 waveform prediction.

Hypoxemia is a significant driver of mortality and poor clinical outcomes in conditions such as brain injury and cardiac arrest in critically ill patients, including COVID-19 patients. Given the host of negative clinical outcomes attributed to hypoxemia, identifying patients likely to experience hyp...

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Bibliographic Details
Main Authors: Akshaya V Annapragada, Joseph L Greenstein, Sanjukta N Bose, Bradford D Winters, Sridevi V Sarma, Raimond L Winslow
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2021-12-01
Series:PLoS Computational Biology
Online Access:https://doi.org/10.1371/journal.pcbi.1009712

Internet

https://doi.org/10.1371/journal.pcbi.1009712

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