Nomogram for Predicting COVID-19 Disease Progression Based on Single-Center Data: Observational Study and Model Development
Original Paper
[키워드] 95% CI
administer
age
Analysis
analyzed
applied
caused
CD4
CD8
characteristic
clinical
Clinical characteristics
clinician
collected
confirmed COVID-19 case
Coronavirus disease 2019
COVID-19
COVID-19 progression
Cox regression analysis
Critical
development
disease
disease onset
epidemiological
evaluate
help
Hospitalized
identify
independent risk factor
Infection
infection with COVID-19
Intervention
laboratory parameter
Model
Multivariate analysis
multivariate Cox regression
nomogram
objective
operator
Patient
patient with COVID-19
patients with COVID-19
patients with SARS-CoV-2
physician
Pneumonia
Predictive
Prevent
Probability
progression
regression analysis
Renmin Hospital
reported
Result
Retrospective study
risk factor
Risk factors
SARS-CoV-2
screened
Spread
the disease
treat
university
variable
variables
were used
worsening
Wuhan
[DOI] 10.2196/19588 PMC 바로가기 [Article Type] Original Paper
[DOI] 10.2196/19588 PMC 바로가기 [Article Type] Original Paper