Development of a clinical decision support system for severity risk prediction and triage of COVID-19 patients at hospital admission: an international multicentre study

BACKGROUND: The outbreak of coronavirus disease 2019 (COVID-19) has globally strained medical resources and caused significant mortality. OBJECTIVE: To develop and validate a machine-learning model based on clinical features for severity risk assessment and triage for COVID-19 patients at hospital a...

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Detalles Bibliográficos
Autores principales: Wu, Guangyao, Yang, Pei, Xie, Yuanliang, Woodruff, Henry C., Rao, Xiangang, Guiot, Julien, Frix, Anne-Noelle, Louis, Renaud, Moutschen, Michel, Li, Jiawei, Li, Jing, Yan, Chenggong, Du, Dan, Zhao, Shengchao, Ding, Yi, Liu, Bin, Sun, Wenwu, Albarello, Fabrizio, D'Abramo, Alessandra, Schininà, Vincenzo, Nicastri, Emanuele, Occhipinti, Mariaelena, Barisione, Giovanni, Barisione, Emanuela, Halilaj, Iva, Lovinfosse, Pierre, Wang, Xiang, Wu, Jianlin, Lambin, Philippe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: European Respiratory Society 2020
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7331655/
https://www.ncbi.nlm.nih.gov/pubmed/32616597
http://dx.doi.org/10.1183/13993003.01104-2020

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7331655/
https://www.ncbi.nlm.nih.gov/pubmed/32616597
http://dx.doi.org/10.1183/13993003.01104-2020

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