Figure 2.

Machine learning model performance in identifying potential long COVID in patients

ROC curves, with 5-fold cross-validation and five repeats, identifying the ability of each of the three models (non-hospitalised, hospitalised, and all patients) to classify patients with long COVID as the discrimination threshold is varied. To emphasise recall of patients with potential long COVID, all models use a predicted probability threshold of 0·45 to generate the precision, recall, and F-score. The threshold can be adjusted to emphasise precision or recall, depending on the use case. AUROC=area under the receiver operating characteristic curve. ROC=receiver operating characteristic.