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Thanks for sharing the works. I would like to apply your method on other disease classification datasets.
MedKLIP inputs a detailed description of a disease in 'observation explanations.json'.
Could you please share a code or tutorial to extract the explanations for a given observation 'X'?
Best regards.
The text was updated successfully, but these errors were encountered:
But for one disease term, UMLS provides multiple related terms (could be up to 20). For example, "effusion", it returns "Otitis Media with Effusion", "Pleural Effusion, Malignant", "Hydrarthrosis", etc. I'm unsure how to filter out less relevant terms.
Could you please give me further guidance on how to create the observation dictionary from UMLS?
Hi,
Thanks for sharing the works. I would like to apply your method on other disease classification datasets.
MedKLIP inputs a detailed description of a disease in 'observation explanations.json'.
Could you please share a code or tutorial to extract the explanations for a given observation 'X'?
Best regards.
The text was updated successfully, but these errors were encountered: