Machine Learning Applied to Clinical Laboratory Data in Spain for COVID-19 Outcome Prediction: Model Development and Validation
Original Paper
[키워드] 95% CI
Accuracy
addition
Additive
Algorithm
Analysis
bootstrap
C-reactive protein
Care
Classifier
clinical
Complication
COVID-19
COVID-19 pandemic
develop
development
Diagnosis
died
effective
Electronic health record
explanation
extreme
f-score
feature
Health
help
higher risk
identify
initial
Laboratory
Laboratory parameters
lactate dehydrogenase
machine learning
Model
Mortality
neutrophil counts
numbers of patient
objective
parameter
Patient
patients with COVID-19
predict
prediction
Predictive
Receiver operator characteristic
resource
resources
Result
resulting
risk
selected
sensitivity
severe disease
Severity of infection
Spain
specificity
the disease
treatment for COVID-19
urea
validation
was selected
was used
worse prognosis
[DOI] 10.2196/26211 PMC 바로가기 [Article Type] Original Paper
[DOI] 10.2196/26211 PMC 바로가기 [Article Type] Original Paper