Detection of COVID-19 Infection from Routine Blood Exams with Machine Learning: A Feasibility Study
Detection Principle
Others
Target
hematochemical values
Testing Method Category
In_silico
Testing Method
machine learning
Testing Method - Additional Info
two machine learning classification models using hematochemical values from routine blood exams
Reported Performance
accuracy: 82%-86%; sensitivity: 92%-95%
Sample Size
279 patients
Peer-reviewed
yes
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