Work

Semantic Relatedness and Similarity Reference Standards for Medical Terms

Year: 2018

Type: dataset

Abstract: 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.

Source: University of Minnesota Digital Conservancy (University of Minnesota)

DOI: 10.13020/d6cx04

Author: Pakhomov, Serguei

Language: English

Topic: Biomedical Text Mining and Ontologies

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: green

OpenAlex ID: W2887442125

Cites:

Cited by: 4

Related to: 20