This is a collection of reference standards created to test and validate computerized approaches to quantifying the degree of semantic relatedness and similarity between medical terms. Each dataset consists of a list of term pairs that have been evaluated by various healthcare professionals (e.g., medical coders, residents, clinicians) to determine the degree of semantic relatedness and similarity. The details pertaining to each dataset are provided in the referenced publications.
|Date made available||2018|
|Publisher||Data Repository for the University of Minnesota|
Pakhomov, S. (Creator) (2018). Semantic Relatedness and Similarity Reference Standards for Medical Terms. Data Repository for the University of Minnesota.