Literature DB >> 11079899

MedSynDiKATe--design considerations for an ontology-based medical text understanding system.

U Hahn1, M Romacker, S Schulz.   

Abstract

MedSynDiKATe is a natural language processor for automatically acquiring knowledge from medical finding reports. The content of these documents is transferred to formal representation structures which constitute a corresponding text knowledge base. The general system architecture we present integrates requirements from the analysis of single sentences, as well as those of referentially linked sentences forming cohesive texts. The strong demands MedSynDiKATe poses to the availability of expressive knowledge sources are accounted for by two alternative approaches to (semi)automatic ontology engineering.

Mesh：

Year:  2000        PMID： 11079899      PMCID： PMC2243952     

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


  5 in total

1.  Discourse structures in medical reports--watch out! The generation of referentially coherent and valid text knowledge bases in the MEDSYNDIKATE system.

Authors:  U Hahn; M Romacker; S Schulz
Journal:  Int J Med Inform       Date:  1999-01       Impact factor: 4.046

Review 2.  Evaluating natural language processors in the clinical domain.

Authors:  C Friedman; G Hripcsak
Journal:  Methods Inf Med       Date:  1998-11       Impact factor: 2.176

Review 3.  How knowledge drives understanding--matching medical ontologies with the needs of medical language processing.

Authors:  U Hahn; M Romacker; S Schulz
Journal:  Artif Intell Med       Date:  1999-01       Impact factor: 5.326

4.  A general natural-language text processor for clinical radiology.

Authors:  C Friedman; P O Alderson; J H Austin; J J Cimino; S B Johnson
Journal:  J Am Med Inform Assoc       Date:  1994 Mar-Apr       Impact factor: 4.497

5.  Medical language processing: applications to patient data representation and automatic encoding.

Authors:  N Sager; M Lyman; N T Nhàn; L J Tick
Journal:  Methods Inf Med       Date:  1995-03       Impact factor: 2.176
  5 in total
  4 in total

1.  Bidirectional mereological reasoning in anatomical knowledge bases.

Authors:  S Schulz
Journal:  Proc AMIA Symp       Date:  2001

2.  Integrating a hypernymic proposition interpreter into a semantic processor for biomedical texts.

Authors:  Marcelo Fiszman; Thomas C Rindflesch; Halil Kilicoglu
Journal:  AMIA Annu Symp Proc       Date:  2003

3.  The Yale cTAKES extensions for document classification: architecture and application.

Authors:  Vijay Garla; Vincent Lo Re; Zachariah Dorey-Stein; Farah Kidwai; Matthew Scotch; Julie Womack; Amy Justice; Cynthia Brandt
Journal:  J Am Med Inform Assoc       Date:  2011-05-27       Impact factor: 4.497

Review 4.  Coreference resolution: a review of general methodologies and applications in the clinical domain.

Authors:  Jiaping Zheng; Wendy W Chapman; Rebecca S Crowley; Guergana K Savova
Journal:  J Biomed Inform       Date:  2011-08-12       Impact factor: 6.317
  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.