Argumentation-Based Inference and Decision Making--A Medical Perspective

John Fox; Sanjay Modgil; Matthew South; David Glasspool; Dan Grecu; Vivek Patkar

doi:10.1109/MIS.2007.102

Intelligent Systems
2007
Issue No. 6 - November/December
Abstract - Argumentation-Based Inference and Decision Making--A Medical Perspective

	This Article
	Subscribers, please Login Purchase article: $19 PDF HTML IEEE Xplore Subscribers RSS feed
	Share
	Email this Article to a friend
	Bibliographic References
	ASCII Text BibTex RefWorks Procite/RefMan/EndNote
	Add to:
	Digg Furl Spurl Blink Simpy Google Del.icio.us Y!MyWeb
	Search
	Similar Articles Articles by John Fox Articles by David Glasspool Articles by Dan Grecu Articles by Sanjay Modgil Articles by Matthew South Articles by Vivek Patkar

Argumentation-Based Inference and Decision Making--A Medical Perspective

November/December 2007 (vol. 22 no. 6)

pp. 34-41

	ASCII Text	x
	John Fox, David Glasspool, Dan Grecu, Sanjay Modgil, Matthew South, Vivek Patkar, "Argumentation-Based Inference and Decision Making--A Medical Perspective," IEEE Intelligent Systems, vol. 22, no. 6, pp. 34-41, November/December, 2007.

	BibTex	x
	@article{ 10.1109/MIS.2007.102, author = {John Fox and David Glasspool and Dan Grecu and Sanjay Modgil and Matthew South and Vivek Patkar}, title = {Argumentation-Based Inference and Decision Making--A Medical Perspective}, journal ={IEEE Intelligent Systems}, volume = {22}, number = {6}, issn = {1541-1672}, year = {2007}, pages = {34-41}, doi = {http://doi.ieeecomputersociety.org/10.1109/MIS.2007.102}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - MGZN JO - IEEE Intelligent Systems TI - Argumentation-Based Inference and Decision Making--A Medical Perspective IS - 6 SN - 1541-1672 SP34 EP41 EPD - 34-41 A1 - John Fox, A1 - David Glasspool, A1 - Dan Grecu, A1 - Sanjay Modgil, A1 - Matthew South, A1 - Vivek Patkar, PY - 2007 KW - health care KW - knowledge modeling KW - knowledge management KW - artificial intelligence VL - 22 JA - IEEE Intelligent Systems ER -

John Fox, Oxford University

David Glasspool, Edinburgh University

Dan Grecu, Cancer Research UK

Sanjay Modgil, Oxford University

Matthew South, Cancer Research UK

Vivek Patkar, Royal Free Hospital London

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MIS.2007.102

A body of work centered on applications of argumentation in biomedicine, such as risk assessment and treatment planning, has led to a comprehensive view of argumentation as a form of evidential reasoning. This, in turn, has stimulated the development of a general formalization of argumentation for reasoning and decision making, which has served as the foundation for several tools for modeling and supporting medical decision making and workflow management. Later approaches have combined argumentation with adversarial models and nonmonotonic logic. The diversity of approaches to argumentation have led to the EU-funded Argumentation Services Platform with Integrated Components (ASPIC) project, which aims to develop a theoretical consensus on argumentation and to translate this consensus into practical standards and tools. This article is part of a special issue on argumentation technology.

1. J.M. Keynes, The Collected Writings of John Maynard Keynes, Vol. 4, The General Theory and After: Part II, Macmillan, 1973.
2. J. Fox, P.J. Krause, and M. Elvang-Goransson, "Argumentation as a General Framework for Uncertain Reasoning," Proc. Int'l Conf. Uncertainty in Artificial Intelligence, Morgan Kaufman, 1993, pp. 428–434.
3. P.J. Krause, S. Ambler, and J. Fox, "A Logic of Argumentation for Uncertain Reasoning," Computational Intelligence, vol. 11, no. 1, 1995, pp. 113–131.
4. S. Das et al., "A Flexible Architecture for a General Intelligent Agent," J. Experimental and Theoretical Artificial Intelligence, vol. 9, no. 4, 1997, pp. 407–440.
5. V. Patkar et al., "Evidence-Based Guidelines and Decision Support Services: A Discussion and Evaluation in Triple Assessment of Suspected Breast Cancer," British J. Cancer, vol. 95, no. 11, 2006, pp. 1490–1496.
6. P. Krause, J. Fox, and P. Judson, "Is There a Role for Qualitative Risk Assessment?" Proc. 11th Conf. Uncertainty in Artificial Intelligence, Morgan Kaufmann, 1995, pp. 386–439.
7. A.S. Coulson et al., "RAGs: A Novel Approach to Computerized Genetic Risk Assessment and Decision Support from Pedigrees," Methods of Information in Medicine, vol. 40, no. 4, 2001, pp. 315–322.
8. D.W. Glasspool et al., "Interactive Decision Support for Medical Planning," Proc. 9th Conf. Artificial Intelligence in Medicine in Europe (AIME 03), M. Dojat, E. Keravnou, and P. Barahona, eds., Springer, 2003, pp. 335–339.
9. P.M. Dung, "On the Acceptability of Arguments and its Fundamental Role in Nonmonotonic Reasoning, Logic Programming and n-Person Games," Artificial Intelligence, vol. 77, no. 2, 1995, pp. 321–357.
10. C. Chesnevar et al., "Towards an Argument Interchange Format," Knowledge Eng. Rev., vol. 21, no. 4, 2007, pp. 293–316.
11. M. Caminada and L. Amgoud, "On the Evaluation of Argumentation Formalisms," Artificial Intelligence, vol. 171, nos. 5–6, 2007, pp. 286–310.

Index Terms:

health care, knowledge modeling, knowledge management, artificial intelligence

Citation:

John Fox, David Glasspool, Dan Grecu, Sanjay Modgil, Matthew South, Vivek Patkar, "Argumentation-Based Inference and Decision Making--A Medical Perspective," IEEE Intelligent Systems, vol. 22, no. 6, pp. 34-41, Nov.-Dec. 2007, doi:10.1109/MIS.2007.102

Peer Review Notice | Give Us Feedback

Usage of this product signifies your acceptance of the Terms of Use.