Development of machine learning models to predict RT-PCR results for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in patients
Detection Principle
Others
Target
/
Testing Method Category
In_silico
Testing Method
Artificial intelligence- machine learning
Testing Method - Additional Info
properly trained artificial intelligence algorithms may be able to predict correct results in RT-PCR for SARS-COV-2, using basic clinical data
Reported Performance
accuracy: 91.4%; sensitivity:94.1%; specificity: 88.7%
Sample Size
199 patients
Peer-reviewed
yes
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