Triage and monitoring of COVID-19 patients in intensive care using unsupervised machine learning()

BACKGROUND: We designed an algorithm to assess COVID-19 patients severity and dynamic intubation needs and predict their length of stay using the breathing frequency (BF) and oxygen saturation (SpO(2)) signals. METHODS: We recorded the BF and SpO(2) signals for confirmed COVID-19 patients admitted t...

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Detalles Bibliográficos
Autores principales: Boussen, Salah, Cordier, Pierre-Yves, Malet, Arthur, Simeone, Pierre, Cataldi, Sophie, Vaisse, Camille, Roche, Xavier, Castelli, Alexandre, Assal, Mehdi, Pepin, Guillaume, Cot, Kevin, Denis, Jean-Baptiste, Morales, Timothée, Velly, Lionel, Bruder, Nicolas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8719000/
https://www.ncbi.nlm.nih.gov/pubmed/34998220
http://dx.doi.org/10.1016/j.compbiomed.2021.105192

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8719000/
https://www.ncbi.nlm.nih.gov/pubmed/34998220
http://dx.doi.org/10.1016/j.compbiomed.2021.105192

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