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Using POSTDOC to recognize biomedical concepts in medical school curricular documents.

Recognition of the biomedical concepts in a document is prerequisite to further processing of the document: medical educators examine curricular documents to discover the coverage of certain topics, detect unwanted redundancies, integrate new content, and delete old content; and clinicians are conce...

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Published in:Bulletin of the Medical Library Association Vol. 82; no. 3; pp. 283 - 288
Main Authors: Kanter SL, Miller RA, Tan M, Schwartz J
Format: research tables/charts Journal Article
Published: University of Pittsburgh, University Library System 1994 Jul
Online Access:View this record in EBSCOhost
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      dt: 1994 Jul
      vid: 82
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      pub: University of Pittsburgh, University Library System
      place: Pittsburgh, Pennsylvania
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        atl: Using POSTDOC to recognize biomedical concepts in medical school curricular documents.
      aug:
        au:
          Kanter SL
          Miller RA
          Tan M
          Schwartz J
        affil: University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania 15261
      sug:
        subj:
          Unified Medical Language System
          Software
          Curriculum
          Medical Literature
          Abstracting and Indexing
          Database Management Software
          Medline
          Education, Medical
          Human
      ab: Recognition of the biomedical concepts in a document is prerequisite to further processing of the document: medical educators examine curricular documents to discover the coverage of certain topics, detect unwanted redundancies, integrate new content, and delete old content; and clinicians are concerned with terms in patient medical records for purposes ranging from creation of an electronic medical record to identification of medical literature relevant to a particular case. POSTDOC (POSTprocessor of DOCuments) is a computer application that (1) accepts as input a free-text, ASCII-formatted document and uses the Unified Medical Language System (UMLS) Metathesaurus to recognize relevant main concept terms; (2) provides term co-occurrence data and thus is able to identify potentially increasing correlations among concepts within the document; and (3) retrieves references from MEDLINE files based on user identification of relevant subjects. This paper describes a formative evaluation of POSTDOC's ability to recognize UMLS Metathesaurus biomedical concepts in medical school lecture outlines. The 'precision' and 'recall' varied over a wide range and were deemed not yet acceptable for automated creation of a database of concepts from curricular documents. However, results were good enough to warrant further study and continued system development.
      pubtype: Academic Journal
      doctype:
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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