Argumentation theory in health care

Luca Longo, Bridget Kane, Lucy Hederman

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Argumentation theory (AT) has been gaining momentum in the health care arena thanks to its intuitive and modular way of aggregating clinical evidence and taking rational decisions. The basic principles of argumentation theory are described and demonstrated in the breast cancer recurrence problem. It is shown how to represent available clinical evidence in arguments, how to define defeat relations among them and how to create a formal argumentation framework. Argumentation semantics are then applied over the built framework to compute arguments justification status. It is demonstrated how this process can enhance the clinician decision-making process. A encouraging predictive capacity is compared against the accuracy rate of well-established machine learning techniques confirming the potential of argumentation theory in health care.

Original languageEnglish
Title of host publicationProceedings of the 25th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2012
DOIs
Publication statusPublished - 2012
Externally publishedYes
Event25th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2012 - Rome, Italy
Duration: 20 Jun 201222 Jun 2012

Publication series

NameProceedings - IEEE Symposium on Computer-Based Medical Systems
ISSN (Print)1063-7125

Conference

Conference25th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2012
Country/TerritoryItaly
CityRome
Period20/06/1222/06/12

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