Longitudinally monitored immune biomarkers predict the timing of COVID-19 outcomes
종 방향으로 모니터링 된 면역 바이오 마커는 Covid-19 결과의시기를 예측합니다.
Research Article
[키워드] anti-SARS-CoV-2
Antibody titers
assist
Asymptomatic
Biomarker
Biomarkers
blood cell
Blood urea nitrogen
build
C-reactive protein
Clinical data
Clinical outcome
clinical parameter
Clinical parameters
collected
contribute
COVID-19
COVID-19 patient
COVID-19 patients
COVID-19 severity
death
Decision making
Demographic and clinical data
Disease progression
Early detection
Factors
fatality
feature
Health
Health care
Health care worker
health care workers
health worker
health workers
healthcare
high-risk patient
High-risk patients
Hospital admission
Hospitalization
hospitalized COVID-19 patients
immune
individuals
information
Kinetics
lymphocyte
lymphocyte counts
machine
machine learning
machine learning models
mind
Mortality
MOST
neutrophil
nitrogen
outcome
outcomes
parameters
Patient
patient data
post-symptom onset
predict
predicted
Predictive
Predictive model
Predictive value
Prevent
profiles
PSO
resource
Respiratory failure
risk
SARS-CoV-2 infected patient
SARS-CoV-2 infected patients
SARS-COV-2 infection
severe respiratory failure
severity
Severity of disease
Spike IgG titers
Support
Temporal analysis
the timing
therapeutic intervention
therapeutic interventions
urea
urea nitrogen
WBC
White blood cell
with COVID-19
[DOI] 10.1371/journal.pcbi.1009778 PMC 바로가기 [Article Type] Research Article
[DOI] 10.1371/journal.pcbi.1009778 PMC 바로가기 [Article Type] Research Article