Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Argumentation Theory in Health Care
University of Dublin, Trinity College, Ireland.ORCID iD: 0000-0003-3211-6529
2012 (English)Conference paper, Published paper (Refereed)
Abstract [en]

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. 

Place, publisher, year, edition, pages
Rome, Italy: IEEE , 2012.
National Category
Engineering and Technology
Research subject
Information Systems
Identifiers
URN: urn:nbn:se:kau:diva-56959DOI: 10.1109/CBMS.2012.6266323ISBN: 978-1-4673-2049-8 (print)ISBN: 978-1-4673-2051-1 (electronic)OAI: oai:DiVA.org:kau-56959DiVA: diva2:1120251
Conference
IEEE CBMS
Available from: 2017-07-05 Created: 2017-07-05 Last updated: 2017-07-06

Open Access in DiVA

No full text

Other links

Publisher's full texthttp://ieeexplore.ieee.org/abstract/document/6266323/http://<Go to ISI>://WOS:000312384400033

Search in DiVA

By author/editor
Kane, Bridget
Engineering and Technology

Search outside of DiVA

GoogleGoogle Scholar

Altmetric score

CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf