Radiomics Analysis of Computed Tomography helps predict poor prognostic outcome in COVID-19
Research Paper
[키워드] Admission
Affect
age
Analysis
applied
association
AUC
build
C-index
Chest CT
clinical risk factor
clinician
Cohort
collected
combined cohort
Comorbidity
competing
Computed tomography
conducted
COVID-19
COVID-19 patients
CT scan
CT scanning
cumulative
death
develop
effective
feature
group
help
high-risk patient
identify
in both group
independent
intensive care
lung
management
mechanical ventilation
Non-invasive
operator
outcome
Patient
patient groups
patients
patients with COVID-19
performed
Poor outcome
predict
Prevent
Probability
Prognosis
prognostic
prognostic model
Quantitative
Radiomics
reproducibility
Research
risk
significantly
spread of COVID-19
stability
stratified
subgroup
subgroups
Surveillance
survival
symptom onset
Taking
tested
validation cohort
Volume
[DOI] 10.7150/thno.46428 PMC 바로가기 [Article Type] Research Paper
[DOI] 10.7150/thno.46428 PMC 바로가기 [Article Type] Research Paper