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Attention-based multimodal fusion with contrast for robust clinical prediction in the face of missing modalities
42
Zitationen
4
Autoren
2023
Jahr
Abstract
We propose a multimodal model for robust clinical prediction to achieve improved performance while accommodating patients with missing modalities. This work could inspire future research to study the effective incorporation of multiple, more complex modalities of clinical data into a single model.
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