Literature DB >> 7799812

A temporal query system for protocol-directed decision support.

A K Das1, M A Musen.   

Abstract

Chronus is a query system that supports temporal extensions to the Structured Query Language (SQL) for relational databases. Although the relational data model can store time-stamped data and can permit simple temporal-comparison operations, it does not provide either a closed or a sufficient algebra for manipulating temporal data. In this paper, we outline an algebra that maintains a consistent relational representation of temporal data and that allows the type of temporal queries needed for protocol-directed decision support. We also discuss how Chronus can translate between our temporal algebra and the relational algebra used for SQL queries. We have applied our system to the task of screening patients for clinical trials. Our results demonstrate that Chronous can express sufficiently all required temporal queries, and that the search time of such queries is similar to that of standard SQL.

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Year:  1994        PMID: 7799812

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


  25 in total

1.  Applying temporal joins to clinical databases.

Authors:  M J O'Connor; S W Tu; M A Musen
Journal:  Proc AMIA Symp       Date:  1999

2.  Temporal expressiveness in querying a time-stamp--based clinical database.

Authors:  D J Nigrin; I S Kohane
Journal:  J Am Med Inform Assoc       Date:  2000 Mar-Apr       Impact factor: 4.497

3.  Representation of temporal indeterminacy in clinical databases.

Authors:  M J O'Connor; S W Tu; M A Musen
Journal:  Proc AMIA Symp       Date:  2000

4.  A formal method to resolve temporal mismatches in clinical databases.

Authors:  A K Das; M A Musen
Journal:  Proc AMIA Symp       Date:  2001

5.  The Chronus II temporal database mediator.

Authors:  Martin J O'Connor; Samson W Tu; Mark A Musen
Journal:  Proc AMIA Symp       Date:  2002

6.  SYNCHRONUS: a reusable software module for temporal integration.

Authors:  Amar K Das; Mark A Musen
Journal:  Proc AMIA Symp       Date:  2002

7.  Modeling electronic discharge summaries as a simple temporal constraint satisfaction problem.

Authors:  George Hripcsak; Li Zhou; Simon Parsons; Amar K Das; Stephen B Johnson
Journal:  J Am Med Inform Assoc       Date:  2004-10-18       Impact factor: 4.497

8.  Coping efficiently with now-relative medical data.

Authors:  Bela Stantic; Paolo Terenziani; Abdul Sattar
Journal:  AMIA Annu Symp Proc       Date:  2008-11-06

9.  An adaptable architecture for patient cohort identification from diverse data sources.

Authors:  Richard Bache; Simon Miles; Adel Taweel
Journal:  J Am Med Inform Assoc       Date:  2013-09-24       Impact factor: 4.497

Review 10.  Formal representation of eligibility criteria: a literature review.

Authors:  Chunhua Weng; Samson W Tu; Ida Sim; Rachel Richesson
Journal:  J Biomed Inform       Date:  2009-12-23       Impact factor: 6.317

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