The Representation and Manipulation of Temporal Data for Clinical Decision-Support Systems: A Database Challenge

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Citation: Amar K. Das and Samson W. Tu and Mark A. Musen. (1993) The Representation and Manipulation of Temporal Data for Clinical Decision-Support Systems: A Database Challenge. In KSL-93-70, December,1993.

Publication techreport ( Edit )
type Technical Report
bibtype techreport
Bibtex basics
author Amar K. Das and Samson W. Tu and Mark A. Musen
title The Representation and Manipulation of Temporal Data for Clinical Decision-Support Systems: A Database Challenge
number KSL-93-70
institution Knowledge Systems, AI Laboratory
address Stanford, CA, USA
year 1993
month December
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abstract Medical databases, which contain longitudinal series of time-stamped patient data, are quintessential examples of real-world temporal databases. A database-requirements analysis for clinical decision-support programs reveals, however, that the underlying model of time in most medical databases is not adequate for a variety of clinically relevant queries. In searching for an appropriate temporal data model, we evaluate whether proposed temporal extensions to the relational model can meet the needs of clinical decision-support systems. We conclude that most temporal relational models are inadequate, because they do not support the time indeterminacy of temporal data at different granularities.

KSL Technical Report ID: KSL-93-70
Facts about The Representation and Manipulation of Temporal Data for Clinical Decision-Support Systems: A Database ChallengeRDF feed
Abstract Medical databases, which contain longitudi … Medical databases, which contain longitudinal series of time-stamped patient data, are quintessential examples of real-world temporal databases. A database-requirements analysis for clinical decision-support programs reveals, however, that the underlying model of time in most medical databases is not adequate for a variety of clinically relevant queries. In searching for an appropriate temporal data model, we evaluate whether proposed temporal extensions to the relational model can meet the needs of clinical decision-support systems. We conclude that most temporal relational models are inadequate, because they do not support the time indeterminacy of temporal data at different granularities. temporal data at different granularities.
Address Stanford, CA, USA  +
Author Amar K. Das and Samson W. Tu and Mark A. Musen  +
Bibtype techreport  +
Has author Amar K. Das and Samson W. Tu and Mark A. Musen  +
Has identifier KSL-93-70  +
Has publishing details December,1993  +
Has title The Representation and Manipulation of Temporal Data for Clinical Decision-Support Systems: A Database Challenge  +
Has where published KSL-93-70  +
Has year 1993  +
Institution Knowledge Systems, AI Laboratory  +
Ksl tr id KSL-93-70  +
Month December  +
Number KSL-93-70  +
Process note NO  +
Title The Representation and Manipulation of Temporal Data for Clinical Decision-Support Systems: A Database Challenge  +
Year 1993  +
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