Knowledge-Based Temporal Abstraction for Diabetic Monitoring

Citation: Yuval Shahar and Amar K. Das and Samson W. Tu and F. Kraemer and Mark A. Musen. (1994) Knowledge-Based Temporal Abstraction for Diabetic Monitoring. In KSL-94-31, November,1994.

Publication techreport ( Edit )
type	Technical Report
bibtype	techreport
Bibtex basics
author	Yuval Shahar and Amar K. Das and Samson W. Tu and F. Kraemer and Mark A. Musen
title	Knowledge-Based Temporal Abstraction for Diabetic Monitoring
number	KSL-94-31
institution	Knowledge Systems, AI Laboratory
year	1994
month	November
Bibtex more
note	Updated November 1994. Medical Computer Science
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abstract	We have developed a general method that solves the task of creating abstract,interval-based concepts from time-stamped clinical data. We refer to this method as knowledge-based temporal-abstraction (KBTA). In this paper, we focus on the knowledge representation, acquisition, maintenance, reuse and sharing aspects of the KBTA method. We describe five problem-solving mechanisms that solve the five subtasks into which the KBTA method decomposes its task, and four types of knowledge necessary for instantiating these mechanisms in a particular domain. We present an example of instantiating the KBTA method in the clinical area of monitoring patients who have insulin-dependent diabetes.

KSL Technical Report ID: KSL-94-31

Abstract	We have developed a general method that so … We have developed a general method that solves the task of creating abstract,interval-based concepts from time-stamped clinical data. We refer to this method as knowledge-based temporal-abstraction (KBTA). In this paper, we focus on the knowledge representation, acquisition, maintenance, reuse and sharing aspects of the KBTA method. We describe five problem-solving mechanisms that solve the five subtasks into which the KBTA method decomposes its task, and four types of knowledge necessary for instantiating these mechanisms in a particular domain. We present an example of instantiating the KBTA method in the clinical area of monitoring patients who have insulin-dependent diabetes. ients who have insulin-dependent diabetes.
Author	Yuval Shahar and Amar K. Das and Samson W. Tu and F. Kraemer and Mark A. Musen +
Bibtype	techreport +
Has author	Yuval Shahar and Amar K. Das and Samson W. Tu and F. Kraemer and Mark A. Musen +
Has identifier	KSL-94-31 +
Has publishing details	November,1994 +
Has title	Knowledge-Based Temporal Abstraction for Diabetic Monitoring +
Has where published	KSL-94-31 +
Has year	1994 +
Institution	Knowledge Systems, AI Laboratory +
Ksl tr id	KSL-94-31 +
Month	November +
Note	Updated November 1994. Medical Computer Science
Number	KSL-94-31 +
Process note	NO +
Title	Knowledge-Based Temporal Abstraction for Diabetic Monitoring +
Year	1994 +