Fig. 6.

Performance of long COVID prediction models in cross-site analysis. Results of cross-site analysis where we train a prediction model on data from only one data partner site and test on data from all other data partners. Distribution of AUROC values from ten iterations of prediction using logistic regression and random forest models when the training dataset comprises data from only (a) data partner 1 and (b) data partner 2. In each boxplot, the lower endpoint, the line in the middle, and the higher endpoint denote the first, second, and third quartiles of the distribution. The whiskers span 1.5 times the interquartile range. Diamonds denote values outside this range. The grey dotted line represents the expected score of a random predictor in the all-patient cohort.