Combining argumentation and Bayesian nets for breast cancer prognosis

Williams, Matthew and Williamson, Jon (2006) Combining argumentation and Bayesian nets for breast cancer prognosis. Journal of Logic, Language and Information, 15 (1/2). pp. 155-178. ISSN 0925-8531. (The full text of this publication is not available from this repository)

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Official URL
http://dx.doi.org/10.1007/s10849-005-9010-x

Abstract

We present a new framework for combining logic with probability, and demonstrate the application of this framework to breast cancer prognosis. Background knowledge concerning breast cancer prognosis is represented using logical arguments. This background knowledge and a database are used to build a Bayesian net that captures the probabilistic relationships amongst the variables. Causal hypotheses gleaned from the Bayesian net in turn generate new arguments. The Bayesian net can be queried to help decide when one argument attacks another. The Bayesian net is used to perform the prognosis, while the argumentation framework is used to provide a qualitative explanation of the prognosis.

Item Type: Article
Subjects: R Medicine > R Medicine (General)
B Philosophy. Psychology. Religion > B Philosophy (General)
B Philosophy. Psychology. Religion > BC Logic
Q Science > QA Mathematics (inc Computing science) > QA273 Probabilities
Divisions: Faculties > Humanities > School of European Culture and Languages
Depositing User: Jon Williamson
Date Deposited: 30 Oct 2008 18:35
Last Modified: 28 Apr 2014 13:47
Resource URI: http://kar.kent.ac.uk/id/eprint/7449 (The current URI for this page, for reference purposes)
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