An Ensemble Learning Model for COVID-19 Detection from Blood Test Samples
Article
[키워드] Accuracy
AdaBoost
approach
approach
AUC
Blood
blood tests
Classifier
clinician
CNN
conducted
COVID-19
COVID-19 disease
current
dataset
datasets
decision
deep learning
descent
detection
detection system
develop
diagnose
Diagnosis
diagnostic
Diagnostic model
diagnostics
Discriminant
effective
Ensemble learning
experiment
feature
forest
Gradient
Laboratory
learning
limitation
machine learning algorithm
Model
Naïve Bayes
outperform
Passive
perceptron
polymerase chain
Regression
Research
reverse transcription
ridge
RT-PCR
Sample
San Raffaele Hospital
small data.
stochastic
support vector machine
Test
tree
virus
[DOI] 10.3390/s22062224 PMC 바로가기
[DOI] 10.3390/s22062224 PMC 바로가기