Ontology-based normalization for disease-lab test relation extraction

Yaoyun Zhang, Jingqi Wang, Cui Tao, Hua Xu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This poster describes our preliminary work on ontology-based normalization for diseases and lab tests, as a fundamental step toward disease-lab test relation extraction. Multiple ontologies are leveraged for this aim. Specifically, diseases and lab tests are first extracted and mapped to the Concept Unique Identifier (CUI) of the Unified Medical Language System (UMLS) by MetaMap. Codes of International Classification of Diseases, Version 9-Clinical Modification (ICD-9CM) are then employed to further normalize diseases; while the Logical Observation Identifiers Names and Codes (LOINC) are used to normalize lab tests.

Original languageEnglish (US)
Title of host publicationCEUR Workshop Proceedings
PublisherCEUR-WS
Pages87-89
Number of pages3
Volume1327
StatePublished - 2014
Externally publishedYes
Event5th International Conference on Biomedical Ontology, ICBO 2014 - Houston, United States
Duration: Oct 8 2014Oct 9 2014

Other

Other5th International Conference on Biomedical Ontology, ICBO 2014
CountryUnited States
CityHouston
Period10/8/1410/9/14

Keywords

  • Disease normalization
  • Lab test normalization
  • Ontology-based normalization
  • Relation extraction

ASJC Scopus subject areas

  • Computer Science(all)

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  • Cite this

    Zhang, Y., Wang, J., Tao, C., & Xu, H. (2014). Ontology-based normalization for disease-lab test relation extraction. In CEUR Workshop Proceedings (Vol. 1327, pp. 87-89). CEUR-WS.