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Treffer: Generic queries for meeting clinical information needs : The Unified Medical Language SystemTM: current research and development

Title:
Generic queries for meeting clinical information needs : The Unified Medical Language SystemTM: current research and development
Authors:
CIMINO, J. J, AGUIRRE, A, JOHNSON, S. B, PENG, P
Source:
Bulletin of the Medical Library Association. 81(2):195-206
Publisher Information:
Chicago, IL: Medical Library Association, 1993.
Publication Year:
1993
Physical Description:
print, 62 ref
Original Material:
INIST-CNRS
Subject Terms:
Documentation, Sciences exactes et technologie, Exact sciences and technology, Sciences et techniques communes, Sciences and techniques of general use, Sciences de l'information. Documentation, Information science. Documentation, Traitement et recherche de l'information, Information processing and retrieval, Structure et analyse des documents et de l'information, Information and document structure and analysis, Analyse des contenus, Content analysis, Indexation. Classification. Résumé. Synthèses, Indexing. Classification. Abstracting. Syntheses, Sciences de l'information et de la communication, Information and communication sciences, Traitement et recherche d'information, Conception, Design, Diseño, Implémentation, Implementation, Ejecución, Langage documentaire, Information language, Lenguaje documental, Langage naturel, Natural language, Lenguaje natural, Modèle, Models, Modelo, Métalangage, Metalanguage, Metalenguaje, Projet, Project, Proyecto, Question documentaire, Query, Pregunta documental, Recherche documentaire, Document retrieval, Recuperación documental, Thesaurus, Tesaurus, Question générique, Generic question, Traitement question, Question processing, UMLS
Document Type:
Fachzeitschrift Article
File Description:
text
Language:
English
Author Affiliations:
Columbia univ. coll. physicians surgeons, cent. medical informatics, dep. medicine, New York NY 10032, United States
ISSN:
0025-7338
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=4678543
Rights:
Copyright 1993 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Sciences of information and communication. Documentation

FRANCIS
Accession Number:
edscal.4678543
Database:
PASCAL Archive

Weitere Informationen

This paper describes a model for automated information retrieval in which questions posed by clinical users are analyzed to establish common syntactic and semantic patterns. The patterns are used to develop a set of general-purpose questions called generic queries. These generic queries are used in responding to specific clinical information needs. Users select generic queries in one of two ways. The user may type in questions, which are then analyzed, using natural language processing techniques, to identify the most relevant generic query; or the user may indicate patient data of interest and then pick one of several potentially relevant questions. This work makes extensive use of the National Library of Medicine's Unified Medical Language System (UMLS): medical concepts are derived from the Metathesaurus, medical queries are based on Semantic Network, and automated source selection makes use of the Information Sources Map. The paper describes research currently under way to implement this model and reports on experience and results to date.