Prediction of Sepsis in COVID-19 Using Laboratory Indicators
Cellular and Infection Microbiology
Published on
Journal: Frontiers in Cellular and Infection Microbiology [Category] COVID-19, MERS, SARS,
Journal: Frontiers in Cellular and Infection Microbiology [Category] COVID-19, MERS, SARS,
[키워드] 95% CI
abnormality
Additive
adopted
aggravate
artificial intelligence
AUC
average
build
characteristic
clinical symptom
coagulation disorder
coagulation function
Coagulopathy
collected
coronavirus disease
COVID-19
COVID-19 patient
Deterioration
diagnose
eight
Electronic health records
feature
finding
global public health
IMPROVE
indicated
Indicator
Inflammatory factor
Inpatient
investigated
Laboratory
moderate
Occurrence
outbreak
patients with COVID-19
prediction
Predictive
Prognosis
provided
reduce mortality
risk
Risk factors
SARS-CoV-2
sensitivity
Sepsis
Seven
shown
specificity
subset
was related
with COVID-19
[DOI] 10.3389/fcimb.2020.586054 PMC 바로가기 [Article Type] Cellular and Infection Microbiology
[DOI] 10.3389/fcimb.2020.586054 PMC 바로가기 [Article Type] Cellular and Infection Microbiology