Literature DB >> 11734389

A MeSH based intelligent search intermediary for Consumer Health Information Systems.

G Göbel1, S Andreatta, J Masser, K P Pfeiffer.   

Abstract

GIN Austria (Gesundheitsinformationsnetz Austria) offers patients and consumers reliable medical knowledge about diseases, wellness and disease management in an easy understandable way and enables them to quick and incessant access to informations about the Austrian health system and Austrian health organizations. To achieve full customer (patients, citizens) satisfaction to find relevant information we propose a concept of a vector-model oriented IR-Tool based on the controlled vocabulary of the MeSH Thesaurus (german version). By this approach users who are often not used to scientific terms and expressions are supported to build up their own query with MeSH Main Headings. In a second step broader and narrower Main Headings are added to the query vector by the system. For this calculation an adapted version of the Floyd-Warshall algorithm for directed, azyclic graphs is used. The tool is part of the GIN Search Modul, which will ease gathering health information from different heterogenous internet datasources.

Entities:  

Mesh:

Year:  2001        PMID: 11734389     DOI: 10.1016/s1386-5056(01)00217-9

Source DB:  PubMed          Journal:  Int J Med Inform        ISSN: 1386-5056            Impact factor:   4.046


  2 in total

1.  Assisting consumer health information retrieval with query recommendations.

Authors:  Qing T Zeng; Jonathan Crowell; Robert M Plovnick; Eunjung Kim; Long Ngo; Emily Dibble
Journal:  J Am Med Inform Assoc       Date:  2005-10-12       Impact factor: 4.497

2.  Improving image retrieval effectiveness via query expansion using MeSH hierarchical structure.

Authors:  Mariano Crespo Azcárate; Jacinto Mata Vázquez; Manuel Maña López
Journal:  J Am Med Inform Assoc       Date:  2012-09-05       Impact factor: 4.497

  2 in total

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