Literature DB >> 17238698

Analysis of medical student content searches that resulted in unidentified UMLS concepts.

Benjamin P Rosenbaum1, Joshua C Denny, Anderson Spickard.   

Abstract

Many authors have reported on the use of the Unified Medical Language System (UMLS) to match concepts in free text. Unmatched search strings may be due to misspellings, concepts not in the UMLS, or searches for words not expected to be in the UMLS (e.g., names of people or places). We mapped search strings from a full-text, concept-based curriculum database to UMLSconcepts and performed a failure analysis. The majority of unmatched text strings were medically related (71.7%). Unrecognized abbreviations (11.6%)and misspellings (38.5%) were the most common causes of unmatched medically related searches. Content searching must take these searches into account for completeness.

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Year:  2006        PMID: 17238698      PMCID: PMC1839579     

Source DB:  PubMed          Journal:  AMIA Annu Symp Proc        ISSN: 1559-4076


  3 in total

1.  UMLS concept indexing for production databases: a feasibility study.

Authors:  P Nadkarni; R Chen; C Brandt
Journal:  J Am Med Inform Assoc       Date:  2001 Jan-Feb       Impact factor: 4.497

2.  "Understanding" medical school curriculum content using KnowledgeMap.

Authors:  Joshua C Denny; Jeffrey D Smithers; Randolph A Miller; Anderson Spickard
Journal:  J Am Med Inform Assoc       Date:  2003-03-28       Impact factor: 4.497

3.  The KnowledgeMap project: development of a concept-based medical school curriculum database.

Authors:  Joshua C Denny; Plomarz R Irani; Firas H Wehbe; Jeffrey D Smithers; Anderson Spickard
Journal:  AMIA Annu Symp Proc       Date:  2003
  3 in total

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