Literature DB >> 8472004

UMLS knowledge for biomedical language processing.

A T McCray1, A R Aronson, A C Browne, T C Rindflesch, A Razi, S Srinivasan.   

Abstract

This paper describes efforts to provide access to the free text in biomedical databases. The focus of the effort is the development of SPECIALIST, an experimental natural language processing system for the biomedical domain. The system includes a broad coverage parser supported by a large lexicon, modules that provide access to the extensive Unified Medical Language System (UMLS) Knowledge Sources, and a retrieval module that permits experiments in information retrieval. The UMLS Metathesaurus and Semantic Network provide a rich source of biomedical concepts and their interrelationships. Investigations have been conducted to determine the type of information required to effect a map between the language of queries and the language of relevant documents. Mappings are never straightforward and often involve multiple inferences.

Mesh:

Year:  1993        PMID: 8472004      PMCID: PMC225761     

Source DB:  PubMed          Journal:  Bull Med Libr Assoc        ISSN: 0025-7338


  3 in total

1.  Automated access to a large medical dictionary: online assistance for research and application in natural language processing.

Authors:  A T McCray; S Srinivasan
Journal:  Comput Biomed Res       Date:  1990-04

2.  The UMLS project: making the conceptual connection between users and the information they need.

Authors:  B L Humphreys; D A Lindberg
Journal:  Bull Med Libr Assoc       Date:  1993-04

3.  The UMLS Metathesaurus: representing different views of biomedical concepts.

Authors:  P L Schuyler; W T Hole; M S Tuttle; D D Sherertz
Journal:  Bull Med Libr Assoc       Date:  1993-04
  3 in total
  34 in total

1.  Mining molecular binding terminology from biomedical text.

Authors:  T C Rindflesch; L Hunter; A R Aronson
Journal:  Proc AMIA Symp       Date:  1999

2.  Use of general-purpose negation detection to augment concept indexing of medical documents: a quantitative study using the UMLS.

Authors:  P G Mutalik; A Deshpande; P M Nadkarni
Journal:  J Am Med Inform Assoc       Date:  2001 Nov-Dec       Impact factor: 4.497

3.  A semantic lexicon for medical language processing.

Authors:  S B Johnson
Journal:  J Am Med Inform Assoc       Date:  1999 May-Jun       Impact factor: 4.497

4.  Adding a medical lexicon to an English Parser.

Authors:  Peter Szolovits
Journal:  AMIA Annu Symp Proc       Date:  2003

5.  An overview of MetaMap: historical perspective and recent advances.

Authors:  Alan R Aronson; François-Michel Lang
Journal:  J Am Med Inform Assoc       Date:  2010 May-Jun       Impact factor: 4.497

6.  Improved identification of noun phrases in clinical radiology reports using a high-performance statistical natural language parser augmented with the UMLS specialist lexicon.

Authors:  Yang Huang; Henry J Lowe; Dan Klein; Russell J Cucina
Journal:  J Am Med Inform Assoc       Date:  2005-01-31       Impact factor: 4.497

7.  A system for automated lexical mapping.

Authors:  Jennifer Y Sun; Yao Sun
Journal:  J Am Med Inform Assoc       Date:  2006-02-24       Impact factor: 4.497

8.  A sense inventory for clinical abbreviations and acronyms created using clinical notes and medical dictionary resources.

Authors:  Sungrim Moon; Serguei Pakhomov; Nathan Liu; James O Ryan; Genevieve B Melton
Journal:  J Am Med Inform Assoc       Date:  2013-06-27       Impact factor: 4.497

9.  Simulating expert clinical comprehension: adapting latent semantic analysis to accurately extract clinical concepts from psychiatric narrative.

Authors:  Trevor Cohen; Brett Blatter; Vimla Patel
Journal:  J Biomed Inform       Date:  2008-03-27       Impact factor: 6.317

10.  Automatic semantic interpretation of anatomic spatial relationships in clinical text.

Authors:  C A Bean; T C Rindflesch; C A Sneiderman
Journal:  Proc AMIA Symp       Date:  1998
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