Hello! I’m working on a data mapping project and I’m wondering how exactly Usagi maps SNOMED concepts to the study concepts because I’m getting suggestions that have a fairly high match score but are in no way related.
e.g. “NSAIDs” was mapped to “AIDS” with a .73 match score. I understand that it’s because of text similarity, but despite having a “SOURCE_DESCRIPTION” field in my import file it doesn’t seem to aid in finding a better, or more appropriate match.
Is there a way to increase the accuracy of the mapping suggestions on Usagi? Every time I import codes I have SOURCE_CODE and SOURCE_NAME fields, with the latter being pretty informative about the variable description. If there is a way I should re-structure my dataset or anything I’m open to suggestions.