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An extended sql for temporal data management in clinical decision-support systems
Abstract We are currently developing a database imp We are currently developing a database implementation to support the temporal semantics of medical data for the T-HELPER physician workstation, a data-management and advice system for protocol-based care of patients who have HIV disease. To understand the requirements of a temporal querying language for the database, we have analyzed the types of temporal predicates found in the clinical-trial protocols. We have extended the standard relational data model with new temporal representations and operations to support these querying requirements. We define a history as a relational table that uses real-world time to store both instant-based events and interval-based states. We also develop a set of temporal operations on events and states as the basis for creating a relational algebra for histories. We use the set of algebraic operators to execute an extended SQL that supports protocol data-management requirements. rts protocol data-management requirements.
Address Washington, D.C. +
Author Amar K. Das +, Samson W. Tu +, Gretchen P. Purcell +, Mark A. Musen +
Bibtype techreport  +
Institution Knowledge Systems, AI Laboratory +
Key KSL-92-24  +
Modification dateThis property is a special property in this wiki. 1 May 2009 14:05:48  +
Number KSL-92-24  +
Tag Computer science +
Title An Extended SQL for Temporal Data Management in Clinical Decision-Support Systems  +
Tr id KSL-92-24  +
Year 1992  +
Categories Technical Report, Publication, KSL Technical Report
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