A Diagnostic Method That Uses Casual Knowledge and Linear Programming in the Application of Bayes' Formula

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Citation: Gregory F. Cooper. (1986) A Diagnostic Method That Uses Casual Knowledge and Linear Programming in the Application of Bayes' Formula. In , 1986.

Publication techreport ( Edit )
type Technical Report
bibtype techreport
Bibtex basics
author Gregory F. Cooper
title A Diagnostic Method That Uses Casual Knowledge and Linear Programming in the Application of Bayes' Formula
number KSL-86-09
institution Knowledge Systems, AI Laboratory
year 1986
Bibtex more
note Journal Memo.
Access Paper
abstract Bayes' formula has been applied extensively in computer-based medical diagnostic systems. One assumption that is often made in the application of the formula is that the findings in a case are conditionally independent. This assumption is often invalid and leads to inaccurate posterior probability assignments to the diagnostic hypotheses. This paper discusses a method for using casual knowledge to structure findings according to their probabilistic dependencies. An inference procedure is discussed which propagates probabilities within a network of casually related findings in order to calculate posterior probabilities of diagnostic hypotheses. A linear programming technique is described that bounds the values of the propagated probabilities subject to known probabilistic constraints.

KSL Technical Report ID: KSL-86-09
Facts about A Diagnostic Method That Uses Casual Knowledge and Linear Programming in the Application of Bayes' FormulaRDF feed
Abstract Bayes' formula has been applied extensivel … Bayes' formula has been applied extensively in computer-based medical diagnostic systems. One assumption that is often made in the application of the formula is that the findings in a case are conditionally independent. This assumption is often invalid and leads to inaccurate posterior probability assignments to the diagnostic hypotheses. This paper discusses a method for using casual knowledge to structure findings according to their probabilistic dependencies. An inference procedure is discussed which propagates probabilities within a network of casually related findings in order to calculate posterior probabilities of diagnostic hypotheses. A linear programming technique is described that bounds the values of the propagated probabilities subject to known probabilistic constraints. ubject to known probabilistic constraints.
Author Gregory F. Cooper  +
Bibtype techreport  +
Has author Gregory F. Cooper  +
Has identifier KSL-86-09  +
Has publishing details 1986  +
Has title A Diagnostic Method That Uses Casual Knowledge and Linear Programming in the Application of Bayes' Formula  +
Has year 1986  +
Institution Knowledge Systems, AI Laboratory  +
Ksl tr id KSL-86-09  +
Note Journal Memo.  +
Number KSL-86-09  +
Process note YES  +
Title A Diagnostic Method That Uses Casual Knowledge and Linear Programming in the Application of Bayes' Formula  +
Year 1986  +
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