A new screening tool for SARS-CoV-2 infection based on self-reported patient clinical characteristics: the COV 19 -ID score
Research
Published on
Journal: BMC Infectious Diseases [Category] COVID-19, COVID19(2023년), Fulltext, MERS, SARS,
Journal: BMC Infectious Diseases [Category] COVID-19, COVID19(2023년), Fulltext, MERS, SARS,
[키워드] 95% CI
Accuracy
Admission
Admissions
Artifiicial Intelligence
association
back pain
calculated
characteristic
Characteristics
Clinical data
conducted
Contact
cough
COVID-19
COVID-19 diagnosis
dataset
demonstrated
determine
ear pain
evaluated
Factor
Fever
identification
identify
intensive care
less
loss of appetite
Loss of Smell
loss of taste
machine learning
Male sex
multivariable logistic regression
operator
Patient
patient symptom
positive
Predictive
Predictive score
Ratio
regression coefficient
Result
Retrospective analysis
risk factor
RT-PCR test
RT-PCR testing
SARS-CoV-2
SARS-COV-2 infection
Screening
Self-reported symptoms
sensitivity
severe COVID-19
smoking
sore throat
specificity
supplementary material
test dataset
tested
threshold
training dataset
Triage
variable
was performed
were used
while
[DOI] 10.1186/s12879-022-07164-1 PMC 바로가기 [Article Type] Research
[DOI] 10.1186/s12879-022-07164-1 PMC 바로가기 [Article Type] Research