Assessing thesaurus-based query expansion using the UMLS Metathesaurus

By William R. Hersh, Susan Price, Larry Donohoe. 2000

161 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Olivier Bodenreider
2. Akshay Deepak
3. Dr. Hiteshwar Kumar Azad
4. Christopher Kotfila
5. Ozlem Uzuner
6. Joel T. Dudley
7. Yuan Luo
8. Travis R. Goodwin

Citations in the corpus

• Natural Language Processing for EHR-Based Computational Phenotyping (2018, neutral): “external modules remain controversial [190], [191].”
• Biomedical Ontologies in Action: Role in Knowledge Management, Data Integration and Decision Support (2008, background): “With hierarchical controlled vocabularies such as MeSH [70] or the UMLS [71, 72], queries can be expanded to the descendants of the original input term, in addition to being enriched with synonyms, which contributes to improving recall.”
• Query Expansion Techniques for Information Retrieval: a Survey (2017, methodology): “[115] used a thesaurus relationship for QE in the UMLS Metathesaurus; they reported that nearly all types of QE reduce the recall and precision based on retrieval effectiveness.”