Development and Validation of ARC, a Model for Anticipating Acute Respiratory Failure in Coronavirus Disease 2019 Patients

OBJECTIVES: To evaluate factors predictive of clinical progression among coronavirus disease 2019 patients following admission, and whether continuous, automated assessments of patient status may contribute to optimal monitoring and management. DESIGN: Retrospective cohort for algorithm training, te...

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Detalles Bibliográficos
Autores principales: Saria, Suchi, Schulam, Peter, Yeh, Brian J., Burke, Daniel, Mooney, Sean D., Fong, Christine T., Sunshine, Jacob E., Long, Dustin R., O’Reilly-Shah, Vikas N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2021
Materias:
Predictive Modeling Report
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8177871/
https://www.ncbi.nlm.nih.gov/pubmed/34104894
http://dx.doi.org/10.1097/CCE.0000000000000441

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8177871/
https://www.ncbi.nlm.nih.gov/pubmed/34104894
http://dx.doi.org/10.1097/CCE.0000000000000441

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