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Annapragada, A.V
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SWIFT: A deep learning approach to prediction of hypoxemic events in critically-Ill patients using SpO2 waveform prediction
by
Annapragada
,
A.V
,
Bose, S.N
,
Greenstein, J.L
,
Sarma, S.V
,
Winslow, R.L
,
Winters, B.D
Published 2021
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Related Subjects
Article
COVID-19
Critical Illness
Deep Learning
Humans
Hypoxia
Intensive Care Units
Oxygen Saturation
Pandemics
SARS-CoV-2
SpO2 Waveform ICU Forecasting Technique
blood
coronavirus disease 2019
critical illness
critically ill patient
decision support system
deep learning
epidemiology
human
hypoxemia
hypoxia
intensive care unit
isolation and purification
oxygen saturation
pandemic
pathophysiology
prediction
resource allocation
virology
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