A dual-stream neural network framework disentangles causal features from spurious correlations in healthcare multimodal data via generalized cross-entropy loss and mutual information minimization, yielding consistent gains on MIMIC-IV, eICU, and ADNI.
Hgmf: heterogeneous graph- based fusion for multimodal data with incompleteness
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Robust Multimodal Representation Learning in Healthcare
A dual-stream neural network framework disentangles causal features from spurious correlations in healthcare multimodal data via generalized cross-entropy loss and mutual information minimization, yielding consistent gains on MIMIC-IV, eICU, and ADNI.