Convolutional neural network using magnetic resonance brain imaging to predict outcome from tuberculosis meningitis
Table 5
Performances of the non-imaging, imaging-only, and fused model on test set (N=56), stratified by HIV status. For each type of model, the performance metrics (AUC and IPA) and their variation were estimated based on n=10 models optimised on n=10 folds.