Machine learning-based model for prediction of clinical deterioration in hospitalized patients by COVID 19
Article
[키워드] Additive
Admission
age
Algorithm
alteration
ATC
AUROC
baseline
Blood
blood oxygen
C03
calibrated
characteristic
clinical
Clinical deterioration
Coagulation
Cohort
collected
Comorbidity
composite endpoint
COVID 19
COVID-19 patients
Critical care
CRP
death
discharge
diuretics
Face mask
Future
High-flow oxygen
Hosmer-lemeshow test
Hospitalization
hospitalized patient
Inflammation
information
Intensive
Invasive mechanical ventilation
lab
lack
LDH
machine
marker
mechanical ventilation
medications
nasal
noninvasive
Patient
percentage
performance
predict
predictor
predictors
procalcitonin
progression
prospective cohort study
reached
recall
required
scale
Sociodemographic characteristics
the WHO
therapy
Treatment
validation cohort
ventilatory support
vital signs
[DOI] 10.1038/s41598-022-09771-z PMC 바로가기 [Article Type] Article
[DOI] 10.1038/s41598-022-09771-z PMC 바로가기 [Article Type] Article