Literature DB >> 9929270

A graphical tool for ad hoc query generation.

K Stoffel1, J D Davis, G Rottman, J Saltz, J Dick, W Merz, R Miller.   

Abstract

Medical data are characterized by complex taxonomies and evolving terminology. Questions that clinicians, medical administrators, and researchers may wish to answer using medical databases are not easily formulated as SQL queries. In this paper we describe a graphical tool that facilitates formulation of ad hoc questions as SQL queries. This tool manages multiple attribute hierarchies and creates SQL query strings by navigating through the hierarchies. This interactive tool has been optimized using indexing to improve the overall speed of the query building and the data retrieval process. Indexed queries performed 5 to 100 times faster than query strings. However, query string generation time depends on the size of the taxonomies describing the hierarchies, while the index generation time depends on the size of the data warehouse.

Mesh:

Year:  1998        PMID: 9929270      PMCID: PMC2232066     

Source DB:  PubMed          Journal:  Proc AMIA Symp        ISSN: 1531-605X


  3 in total

1.  Scaling a data retrieval and mining application to the enterprise-wide level.

Authors:  D J Nigrin; I S Kohane
Journal:  Proc AMIA Symp       Date:  1999

2.  Metadata-driven ad hoc query of patient data: meeting the needs of clinical studies.

Authors:  Aniruddha M Deshpande; Cynthia Brandt; Prakash M Nadkarni
Journal:  J Am Med Inform Assoc       Date:  2002 Jul-Aug       Impact factor: 4.497

3.  Enabling Ontology Based Semantic Queries in Biomedical Database Systems.

Authors:  Shuai Zheng; Fusheng Wang; James Lu
Journal:  Int J Semant Comput       Date:  2014-03
  3 in total

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