Figure 5.

Classification and prediction of COVID-19 outcomes using the cyMAE subject representations

From left to right, COVID-19 patient and healthy subject classification using the Acute2020 and Acute2021 dataset, secondary immune response against COVID-19 prediction using the Vaccine dataset, and COVID-19 pre- and post-treatment classification using the Acute2021 dataset. The number in parentheses is the sample size. All the experiments are conducted by 5-fold cross-validation repeating 10 times. The shade for each curve represents the variance of these experiments. Green dashed lines stand for performance of a random classifier.