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Question 152/192
Consider a multimodal dataset containing patient records: text descriptions of symptoms, MRI images, and audio recordings of heart sounds. Some records are missing MRI images. Which of the following methods is BEST suited for handling this missing data within a multimodal learning framework?
Correct Answer: D
Masking provides a way to leverage the available information in all records, even those with missing modalities. The model learns to infer the missing data from the available data, which can improve overall performance. Deleting data or using a simple average imputation can introduce bias or information loss. Training a separate model or ignoring the MRI data altogether does not effectively utilize the available multimodal information for all records.
- Question List (192q)
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