Integration of Case-Based and Model-Based Approaches for Reasoning about Legal Aspects of Medical Practice

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Citation: David H. Millis and Edward H. Shortliffe. (1992) Integration of Case-Based and Model-Based Approaches for Reasoning about Legal Aspects of Medical Practice. In KSL-92-17, 1992.

Publication techreport ( Edit )
type Technical Report
bibtype techreport
Bibtex basics
author David H. Millis and Edward H. Shortliffe
title Integration of Case-Based and Model-Based Approaches for Reasoning about Legal Aspects of Medical Practice
number KSL-92-17
institution Knowledge Systems, AI Laboratory
address Washington, D.C.
year 1992
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abstract Relatively little time is spent during medical training in helping students learn how to handle the legal problems that arise in medical practice. One way to help fill this gap is to make available computer programs which can aid the student in reasoning about legal concepts. Since much of legal knowledge exists in the form of cases, a problem-solving paradigm often invoked in the legal domain is case-based reasoning, which allow the use of previously solved cases to generate solutions to new problems when there is no well-defined theory of how to solve problems in the domain. Recent studies have explored the use of model-based reasoning to strengthen the ability of a case-based reasoner to identify relevant similarities among cases and to justify the plausibility of solutions adapted from previous cases. However, model-based reasoning traditionally presupposes a well-defined theory of the domain. In this paper we explore the use of informal or nondeterministic models to aid a case-based reasoner in the process of problem solving. We have found that there is a degree of synergy between case-based and model-based reasoning that allows each to overcome some of the weaknesses of the other when a system must reason in nondeterministic domains.

KSL Technical Report ID: KSL-92-17
Facts about Integration of Case-Based and Model-Based Approaches for Reasoning about Legal Aspects of Medical PracticeRDF feed
Abstract Relatively little time is spent during med … Relatively little time is spent during medical training in helping students learn how to handle the legal problems that arise in medical practice. One way to help fill this gap is to make available computer programs which can aid the student in reasoning about legal concepts. Since much of legal knowledge exists in the form of cases, a problem-solving paradigm often invoked in the legal domain is case-based reasoning, which allow the use of previously solved cases to generate solutions to new problems when there is no well-defined theory of how to solve problems in the domain. Recent studies have explored the use of model-based reasoning to strengthen the ability of a case-based reasoner to identify relevant similarities among cases and to justify the plausibility of solutions adapted from previous cases. However, model-based reasoning traditionally presupposes a well-defined theory of the domain. In this paper we explore the use of informal or nondeterministic models to aid a case-based reasoner in the process of problem solving. We have found that there is a degree of synergy between case-based and model-based reasoning that allows each to overcome some of the weaknesses of the other when a system must reason in nondeterministic domains. m must reason in nondeterministic domains.
Address Washington, D.C.  +
Author David H. Millis and Edward H. Shortliffe  +
Bibtype techreport  +
Has author David H. Millis and Edward H. Shortliffe  +
Has identifier KSL-92-17  +
Has publishing details 1992  +
Has title Integration of Case-Based and Model-Based Approaches for Reasoning about Legal Aspects of Medical Practice  +
Has where published KSL-92-17  +
Has year 1992  +
Institution Knowledge Systems, AI Laboratory  +
Ksl tr id KSL-92-17  +
Number KSL-92-17  +
Process note YES  +
Title Integration of Case-Based and Model-Based Approaches for Reasoning about Legal Aspects of Medical Practice  +
Year 1992  +
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