Figure 2
From: A multimodal machine learning model for predicting dementia conversion in Alzheimer’s disease
Performance comparison results of GBM models according to primary modality combination. (A) The modality combination with the highest BA is demo + ANV, 0.760. (B) The modality combination with the highest SE is demo, demo + AN, demo + ANV, 0.778. (C) The modality combination with the highest SP is demo + A, 0.742, (D) The modality combination with the highest AUC is demo + AN, 0.875. GBM;gradient boosting model, demo; demographic characteristic, A;amyloid PET image features, N; T1-weighted image features, V; T2-FLAIR image features.
