Ontology highlight
ABSTRACT: 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, testing, and validation.Setting
Eight hospitals across two geographically distinct regions.Patients
Two-thousand fifteen hospitalized coronavirus disease 2019-positive patients.Interventions
None.Measurements and main results
Anticipating Respiratory failure in Coronavirus disease (ARC), a clinically interpretable, continuously monitoring prognostic model of acute respiratory failure in hospitalized coronavirus disease 2019 patients, was developed and v
SUBMITTER: Saria S
PROVIDER: S-EPMC8177871 | biostudies-literature | 2021 Jun
REPOSITORIES: biostudies-literature