Literature DB >> 9865036

From text to knowledge: a unifying document-centered view of analyzed medical language.

P Zweigenbaum1, J Bouaud, B Bachimont, J Charlet, B Séroussi, J F Boisvieux.   

Abstract

Although medical language processing (MLP) has achieved some success, the actual use and dissemination of data extracted from free text by MLP systems is still very limited. We claim that the adoption of an 'enriched-document' paradigm (or 'document-centered' view) can help to address this issue. We present this paradigm and explain how it can be implemented, then discuss its expected benefits both for end-users and MLP researchers.

Mesh:

Year:  1998        PMID: 9865036

Source DB:  PubMed          Journal:  Methods Inf Med        ISSN: 0026-1270            Impact factor:   2.176


  4 in total

1.  Medical problem and document model for natural language understanding.

Authors:  Stephanie Meystre; Peter J Haug
Journal:  AMIA Annu Symp Proc       Date:  2003

2.  Methodology to build medical ontology from textual resources.

Authors:  Audrey Baneyx; Jean Charlet; Marie-Christine Jaulent
Journal:  AMIA Annu Symp Proc       Date:  2006

3.  An electronic health record based on structured narrative.

Authors:  Stephen B Johnson; Suzanne Bakken; Daniel Dine; Sookyung Hyun; Eneida Mendonça; Frances Morrison; Tiffani Bright; Tielman Van Vleck; Jesse Wrenn; Peter Stetson
Journal:  J Am Med Inform Assoc       Date:  2007-10-18       Impact factor: 4.497

4.  Representing information in patient reports using natural language processing and the extensible markup language.

Authors:  C Friedman; G Hripcsak; L Shagina; H Liu
Journal:  J Am Med Inform Assoc       Date:  1999 Jan-Feb       Impact factor: 4.497

  4 in total

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