Literature DB >> 9019092

Natural language processing in medicine: an overview.

P Spyns1.   

Abstract

An overview is given of natural language processing applications in medicine. An attempt has been made to enumerate the most important and known international projects and to summarize their goals, principles, methods and results. A section is devoted to projects involving the Dutch language. A more general discussion about the two fundamental approaches concerning medical language understanding is provided. An extensive bibliography may be useful for those wishing to explore this research domain.

Mesh:

Year:  1996        PMID: 9019092

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


  41 in total

1.  A statistical natural language processor for medical reports.

Authors:  R K Taira; S G Soderland
Journal:  Proc AMIA Symp       Date:  1999

2.  Classification algorithms applied to narrative reports.

Authors:  A Wilcox; G Hripcsak
Journal:  Proc AMIA Symp       Date:  1999

3.  Automated coding of diagnoses--three methods compared.

Authors:  P Franz; A Zaiss; S Schulz; U Hahn; R Klar
Journal:  Proc AMIA Symp       Date:  2000

4.  Evaluation of the quality of information retrieval of clinical findings from a computerized patient database using a semantic terminological model.

Authors:  P J Brown; P Sönksen
Journal:  J Am Med Inform Assoc       Date:  2000 Jul-Aug       Impact factor: 4.497

5.  Evaluating UMLS strings for natural language processing.

Authors:  A T McCray; O Bodenreider; J D Malley; A C Browne
Journal:  Proc AMIA Symp       Date:  2001

6.  A knowledge model for the interpretation and visualization of NLP-parsed discharged summaries.

Authors:  M Krauthammer; G Hripcsak
Journal:  Proc AMIA Symp       Date:  2001

7.  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

8.  The role of domain knowledge in automating medical text report classification.

Authors:  Adam B Wilcox; George Hripcsak
Journal:  J Am Med Inform Assoc       Date:  2003-03-28       Impact factor: 4.497

Review 9.  Detecting adverse events using information technology.

Authors:  David W Bates; R Scott Evans; Harvey Murff; Peter D Stetson; Lisa Pizziferri; George Hripcsak
Journal:  J Am Med Inform Assoc       Date:  2003 Mar-Apr       Impact factor: 4.497

10.  Automatic resolution of ambiguous terms based on machine learning and conceptual relations in the UMLS.

Authors:  Hongfang Liu; Stephen B Johnson; Carol Friedman
Journal:  J Am Med Inform Assoc       Date:  2002 Nov-Dec       Impact factor: 4.497

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