Knowledge Engineering for Clinical Consultation Programs: Modeling the Application Area

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Citation: Mark A. Musen and J. van der Lei. (1989) Knowledge Engineering for Clinical Consultation Programs: Modeling the Application Area. In KSL-89-28, March,1989.

Publication techreport ( Edit )
type Technical Report
bibtype techreport
Bibtex basics
author Mark A. Musen and J. van der Lei
title Knowledge Engineering for Clinical Consultation Programs: Modeling the Application Area
number KSL-89-28
institution Knowledge Systems, AI Laboratory
year 1989
month March
Bibtex more
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abstract Developers of computer-based decision-support tools frequently adopt either pattern recognition or artificial intelligence techniques as the basis for their programs. Because these developers often choose to accentuate the differences between these alternative approaches, the more fundamental similarities are frequently overlooked. The principal challenge in the creation of any clinical consultation program--regardless of the methodology that is used--lies in creating a computational model of the application domain. The difficulty in generating such a model manifests itself in symptoms that workers in the expert systems community have labeled "the knowledge-acquisition bottleneck" and "the problem of brittleness." This paper explores these two symptoms and shows how the development of consultation programs based on pattern-recognition techniques is subject to analogous difficulties. The expert systems and pattern recognition communities must recognize that they face similar challenges, and must unite to develop methods that assist with the process of building models of complex application tasks.

KSL Technical Report ID: KSL-89-28
Facts about Knowledge Engineering for Clinical Consultation Programs: Modeling the Application AreaRDF feed
Abstract Developers of computer-based decision-supp … Developers of computer-based decision-support tools frequently adopt either pattern recognition or artificial intelligence techniques as the basis for their programs. Because these developers often choose to accentuate the differences between these alternative approaches, the more fundamental similarities are frequently overlooked. The principal challenge in the creation of any clinical consultation program--regardless of the methodology that is used--lies in creating a computational model of the application domain. The difficulty in generating such a model manifests itself in symptoms that workers in the expert systems community have labeled "the knowledge-acquisition bottleneck" and "the problem of brittleness." This paper explores these two symptoms and shows how the development of consultation programs based on pattern-recognition techniques is subject to analogous difficulties. The expert systems and pattern recognition communities must recognize that they face similar challenges, and must unite to develop methods that assist with the process of building models of complex application tasks. lding models of complex application tasks.
Author Mark A. Musen and J. van der Lei  +
Bibtype techreport  +
Has author Mark A. Musen and J. van der Lei  +
Has identifier KSL-89-28  +
Has publishing details March,1989  +
Has title Knowledge Engineering for Clinical Consultation Programs: Modeling the Application Area  +
Has where published KSL-89-28  +
Has year 1989  +
Institution Knowledge Systems, AI Laboratory  +
Ksl tr id KSL-89-28  +
Month March  +
Number KSL-89-28  +
Process note YES  +
Title Knowledge Engineering for Clinical Consultation Programs: Modeling the Application Area  +
Year 1989  +
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