Literature DB >> 9929321

Morpho-semantic parsing of medical expressions.

R H Baud1, C Lovis, A M Rassinoux, J R Scherrer.   

Abstract

The task of editing, indexing, storing, and retrieving medical expressions within medical records remains the main objective for the years to come. Therefore, the need for a parser with semantic capabilities able to robustly extract an essential part of the knowledge embedded in the medical record is paramount. The minimal requirements before considering clinical trials are that such a system has to be in position to handle any source of medical information and to conveniently grasp the main key concepts with low silence, good recognition of modalities and acceptable noise. This paper shows that the potential of morpho-semantic parsing is high to meet these conditions. This technique is an important complement to the traditional lexical approach and to expression-oriented systems like controlled vocabularies.

Mesh:

Year:  1998        PMID: 9929321      PMCID: PMC2232116     

Source DB:  PubMed          Journal:  Proc AMIA Symp        ISSN: 1531-605X


  10 in total

1.  Toward representations for medical concepts.

Authors:  D A Evans; D J Rothwell; I A Monarch; R G Lefferts; R A Cote
Journal:  Med Decis Making       Date:  1991 Oct-Dec       Impact factor: 2.583

2.  Corpus-based identification and refinement of semantic classes.

Authors:  A Nazarenko; P Zweigenbaum; J Bouaud; B Habert
Journal:  Proc AMIA Annu Fall Symp       Date:  1997

3.  Empirical, automated vocabulary discovery using large text corpora and advanced natural language processing tools.

Authors:  W R Hersh; E H Campbell; D A Evans; N D Brownlow
Journal:  Proc AMIA Annu Fall Symp       Date:  1996

4.  Knowledge sources for Natural Language Processing.

Authors:  R H Baud; A M Rassinoux; C Lovis; J Wagner; V Griesser; P A Michel; J R Scherrer
Journal:  Proc AMIA Annu Fall Symp       Date:  1996

5.  Representing clinical narratives using conceptual graphs.

Authors:  R H Baud; A M Rassinoux; J C Wagner; C Lovis; C Juge; L L Alpay; P A Michel; P Degoulet; J R Scherrer
Journal:  Methods Inf Med       Date:  1995-03       Impact factor: 2.176

6.  A Terminology Server for medical language and medical information systems.

Authors:  A L Rector; W D Solomon; W A Nowlan; T W Rush; P E Zanstra; W M Claassen
Journal:  Methods Inf Med       Date:  1995-03       Impact factor: 2.176

7.  The Unified Medical Language System.

Authors:  D A Lindberg; B L Humphreys; A T McCray
Journal:  Methods Inf Med       Date:  1993-08       Impact factor: 2.176

8.  Analysis of medical texts based on a sound medical model.

Authors:  A M Rassinoux; J C Wagner; C Lovis; R H Baud; A Rector; J R Scherrer
Journal:  Proc Annu Symp Comput Appl Med Care       Date:  1995

9.  Word segmentation processing: a way to exponentially extend medical dictionaries.

Authors:  C Lovis; P A Michel; R Baud; J R Scherrer
Journal:  Medinfo       Date:  1995

10.  Morphosemantic analysis of compound word forms denoting surgical procedures.

Authors:  L M Norton; M G Pacak
Journal:  Methods Inf Med       Date:  1983-01       Impact factor: 2.176

  10 in total
  3 in total

1.  Fast exact string pattern-matching algorithms adapted to the characteristics of the medical language.

Authors:  C Lovis; R H Baud
Journal:  J Am Med Inform Assoc       Date:  2000 Jul-Aug       Impact factor: 4.497

2.  Subword segmentation--leveling out morphological variations for medical document retrieval.

Authors:  U Hahn; M Honeck; M Piotrowski; S Schulz
Journal:  Proc AMIA Symp       Date:  2001

3.  Limited parsing of notational text visit notes: ad-hoc vs. NLP approaches.

Authors:  R C Barrows Jr; M Busuioc; C Friedman
Journal:  Proc AMIA Symp       Date:  2000
  3 in total

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