Literature DB >> 12474882

The Chronus II temporal database mediator.

Martin J O'Connor1, Samson W Tu, Mark A Musen.   

Abstract

Clinical databases typically contain a significant amount of temporal information. This information is often crucial in medical decision-support systems. Although temporal queries are common in clinical systems, the medical informatics field has no standard means for representing or querying temporal data. Over the past decade, the temporal database community has made a significant amount of progress in temporal systems. Much of this research can be applied to clinical database systems. This paper outlines a temporal database mediator called Chronus II. Chronus II extends the standard relational model and the SQL query language to support temporal queries. It provides an expressive general-purpose temporal query language that is tuned to the querying requirements of clinical decision support systems. This paper describes how we have used Chronus II to tackle a variety of clinical problems in decision support systems developed by our group.

Mesh:

Year:  2002        PMID: 12474882      PMCID: PMC2244583     

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


  7 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.  Representation of temporal indeterminacy in clinical databases.

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

3.  RASTA: a distributed temporal abstraction system to facilitate knowledge-driven monitoring of clinical databases.

Authors:  M J O'Connor; W E Grosso; S W Tu; M A Musen
Journal:  Stud Health Technol Inform       Date:  2001

4.  Modeling data and knowledge in the EON guideline architecture.

Authors:  S W Tu; M A Musen
Journal:  Stud Health Technol Inform       Date:  2001

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Authors:  C Combi; Y Shahar
Journal:  Comput Biol Med       Date:  1997-09       Impact factor: 4.589

6.  A temporal query system for protocol-directed decision support.

Authors:  A K Das; M A Musen
Journal:  Methods Inf Med       Date:  1994-10       Impact factor: 2.176

Review 7.  Rationale for the Arden Syntax.

Authors:  G Hripcsak; P Ludemann; T A Pryor; O B Wigertz; P D Clayton
Journal:  Comput Biomed Res       Date:  1994-08
  7 in total
  7 in total

1.  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

2.  Ontology-driven mapping of temporal data in biomedical databases.

Authors:  Preetha S Narayanan; Martin J O'Connor; Amar K Das
Journal:  AMIA Annu Symp Proc       Date:  2006

3.  Coping efficiently with now-relative medical data.

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

Review 4.  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

5.  The Analytic Information Warehouse (AIW): a platform for analytics using electronic health record data.

Authors:  Andrew R Post; Tahsin Kurc; Sharath Cholleti; Jingjing Gao; Xia Lin; William Bornstein; Dedra Cantrell; David Levine; Sam Hohmann; Joel H Saltz
Journal:  J Biomed Inform       Date:  2013-02-09       Impact factor: 6.317

6.  PROTEMPA: a method for specifying and identifying temporal sequences in retrospective data for patient selection.

Authors:  Andrew R Post; James H Harrison
Journal:  J Am Med Inform Assoc       Date:  2007-06-28       Impact factor: 4.497

7.  ACE: the Advanced Cohort Engine for searching longitudinal patient records.

Authors:  Alison Callahan; Vladimir Polony; José D Posada; Juan M Banda; Saurabh Gombar; Nigam H Shah
Journal:  J Am Med Inform Assoc       Date:  2021-07-14       Impact factor: 4.497

  7 in total

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