Temporal Representations of Clinical Algorithms Using Expert-System and Database Tools

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Citation: Donald W. Rucker and David J. Maron and Edward H. Shortliffe. (1988) Temporal Representations of Clinical Algorithms Using Expert-System and Database Tools. In KSL-88-67, February,1988.

Publication techreport ( Edit )
type Technical Report
bibtype techreport
Bibtex basics
author Donald W. Rucker and David J. Maron and Edward H. Shortliffe
title Temporal Representations of Clinical Algorithms Using Expert-System and Database Tools
number KSL-88-67
institution Knowledge Systems, AI Laboratory
year 1988
month February
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abstract The HyperLipid Advisory System combines a rule-based implementation of a clinical algorithm (the NIH Cholesterol Education Program Expert Panel recommendations) with a temporal representation that facilitates reasoning over time while maintaining efficient storage in a standard database. The temporal representation consists of objects that model point events such as visits and interval events such as specific therapies. These objects are combined into abstractions called phases, which correspond to higher level clinical concepts such as a diet or drug treatment. The time-oriented data objects are referenced in the rules using a custom-tailored operator query language. Between user sessions relevant clinical data are stored in external files. When the advisory system is reconsulted, this information is retrieved and mapped back into an object-oriented format. Use of a commercially available expert-system shell for such tasks allows algorithm implementation in standard personal computing environments.

KSL Technical Report ID: KSL-88-67
Facts about Temporal Representations of Clinical Algorithms Using Expert-System and Database ToolsRDF feed
Abstract The HyperLipid Advisory System combines a The HyperLipid Advisory System combines a rule-based implementation of a clinical algorithm (the NIH Cholesterol Education Program Expert Panel recommendations) with a temporal representation that facilitates reasoning over time while maintaining efficient storage in a standard database. The temporal representation consists of objects that model point events such as visits and interval events such as specific therapies. These objects are combined into abstractions called phases, which correspond to higher level clinical concepts such as a diet or drug treatment. The time-oriented data objects are referenced in the rules using a custom-tailored operator query language. Between user sessions relevant clinical data are stored in external files. When the advisory system is reconsulted, this information is retrieved and mapped back into an object-oriented format. Use of a commercially available expert-system shell for such tasks allows algorithm implementation in standard personal computing environments. standard personal computing environments.
Author Donald W. Rucker and David J. Maron and Edward H. Shortliffe  +
Bibtype techreport  +
Has author Donald W. Rucker and David J. Maron and Edward H. Shortliffe  +
Has identifier KSL-88-67  +
Has publishing details February,1988  +
Has title Temporal Representations of Clinical Algorithms Using Expert-System and Database Tools  +
Has where published KSL-88-67  +
Has year 1988  +
Institution Knowledge Systems, AI Laboratory  +
Ksl tr id KSL-88-67  +
Month February  +
Number KSL-88-67  +
Process note YES  +
Title Temporal Representations of Clinical Algorithms Using Expert-System and Database Tools  +
Year 1988  +