“INB Method Using WGAN-GP Data Augmentation Achieves Over 90% Accuracy in Discriminating COVID-19 Saliva Samples with ATR-FTIR Spectroscopy”

https://pubmed.ncbi.nlm.nih.gov/38113559

The study proposes an Information Balance Feature Selection (INB) method using the WGAN-GP data augmentation technique to accurately discriminate COVID-19 saliva samples based on ATR-FTIR spectroscopy, achieving over 90% accuracy.