Leveraging terminological resources for mapping between rare disease information sources

Stud Health Technol Inform. 2013:192:529-33.

Abstract

Background: Rare disease information sources are incompletely and inconsistently cross-referenced to one another, making it difficult for information seekers to navigate across them. The development of such cross-references established manually by experts is generally labor intensive and costly.

Objectives: To develop an automatic mapping between two of the major rare diseases information sources, GARD and Orphanet, by leveraging terminological resources, especially the UMLS.

Methods: We map the rare disease terms from Orphanet and ORDR to the UMLS. We use the UMLS as a pivot to bridge between the rare disease terminologies. We compare our results to a mapping obtained through manually established cross-references to OMIM.

Results: Our mapping has a precision of 94%, a recall of 63% and an F1-score of 76%. Our automatic mapping should help facilitate the development of more complete and consistent cross-references between GARD and Orphanet, and is applicable to other rare disease information sources as well.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, N.I.H., Intramural

MeSH terms

  • Artificial Intelligence
  • Database Management Systems*
  • Databases, Factual*
  • Information Storage and Retrieval / methods*
  • Medical Record Linkage / methods*
  • Natural Language Processing*
  • Rare Diseases / classification*
  • Semantics
  • Unified Medical Language System*
  • User-Computer Interface