Literature DB >> 2225787

SAPHIRE--an information retrieval system featuring concept matching, automatic indexing, probabilistic retrieval, and hierarchical relationships.

W R Hersh1, R A Greenes.   

Abstract

SAPHIRE (Semantic and Probabilistic Heuristic Information Retrieval Environment) is an experimental computer program designed to test new techniques in automated information retrieval in the biomedical domain. A main feature of the program is a concept-finding algorithm that processes free text to find canonical concepts. The algorithm is designed to handle a wide variety of synonyms and convert them to canonical form. This allows natural language to be used for query input and also serves as the basis for a new approach to automatic indexing based on a combination of probabilistic and linguistic methods.

Mesh:

Year:  1990        PMID: 2225787     DOI: 10.1016/0010-4809(90)90031-7

Source DB:  PubMed          Journal:  Comput Biomed Res        ISSN: 0010-4809


  25 in total

1.  Automation and integration of components for generalized semantic markup of electronic medical texts.

Authors:  J M Dugan; D C Berrios; X Liu; D K Kim; H Kaizer; L M Fagan
Journal:  Proc AMIA Symp       Date:  1999

2.  Analysis of information needs of users of the Stanford Health Information Network for Education.

Authors:  H R Strasberg; P R Hubbs; T C Rindfleisch; K L Melmon
Journal:  Proc AMIA Symp       Date:  1999

3.  UMLS concept indexing for production databases: a feasibility study.

Authors:  P Nadkarni; R Chen; C Brandt
Journal:  J Am Med Inform Assoc       Date:  2001 Jan-Feb       Impact factor: 4.497

4.  The integration of a continuous-speech-recognition system with the QMR diagnostic program.

Authors:  S Shiffman; C D Lane; K B Johnson; L M Fagan
Journal:  Proc Annu Symp Comput Appl Med Care       Date:  1992

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 comparative evaluation of full-text, concept-based, and context-sensitive search.

Authors:  Robert Moskovitch; Susana B Martins; Eytan Behiri; Aviram Weiss; Yuval Shahar
Journal:  J Am Med Inform Assoc       Date:  2007-01-09       Impact factor: 4.497

8.  Essie: a concept-based search engine for structured biomedical text.

Authors:  Nicholas C Ide; Russell F Loane; Dina Demner-Fushman
Journal:  J Am Med Inform Assoc       Date:  2007-02-28       Impact factor: 4.497

9.  Retrieval from full-text medical literature: the dream & the reality.

Authors:  M C Sievert; E J McKinin; E D Johnson; J A Mitchell
Journal:  Proc Annu Symp Comput Appl Med Care       Date:  1991

10.  A free-text processing system to capture physical findings: Canonical Phrase Identification System (CAPIS).

Authors:  R Lin; L Lenert; B Middleton; S Shiffman
Journal:  Proc Annu Symp Comput Appl Med Care       Date:  1991
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