Argumentation theory in health care

Luca Longo; Bridget Kane; Lucy Hederman

doi:10.1109/CBMS.2012.6266323

Argumentation theory in health care

Luca Longo
, Bridget Kane
, Lucy Hederman

Trinity College Dublin

Research output: Chapter in Book/Report/Conference proceedings › Conference proceeding › peer-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 language	English
Title of host publication	Proceedings of the 25th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2012
DOIs	https://doi.org/10.1109/CBMS.2012.6266323
Publication status	Published - 2012
Externally published	Yes
Event	25th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2012 - Rome, Italy Duration: 20 Jun 2012 → 22 Jun 2012

Publication series

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

Conference

Conference	25th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2012
Country/Territory	Italy
City	Rome
Period	20/06/12 → 22/06/12

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Access to Document

10.1109/CBMS.2012.6266323

Cite this

@inproceedings{8581dc94827445b8bdb85e9256aac6f9,

title = "Argumentation theory in health care",

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.",

author = "Luca Longo and Bridget Kane and Lucy Hederman",

year = "2012",

doi = "10.1109/CBMS.2012.6266323",

language = "English",

isbn = "9781467320511",

series = "Proceedings - IEEE Symposium on Computer-Based Medical Systems",

booktitle = "Proceedings of the 25th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2012",

note = "25th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2012 ; Conference date: 20-06-2012 Through 22-06-2012",

}

Longo, L, Kane, B & Hederman, L 2012, Argumentation theory in health care. in Proceedings of the 25th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2012., 6266323, Proceedings - IEEE Symposium on Computer-Based Medical Systems, 25th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2012, Rome, Italy, 20/06/12. https://doi.org/10.1109/CBMS.2012.6266323

TY - GEN

T1 - Argumentation theory in health care

AU - Longo, Luca

AU - Kane, Bridget

AU - Hederman, Lucy

PY - 2012

Y1 - 2012

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/84867313918

U2 - 10.1109/CBMS.2012.6266323

DO - 10.1109/CBMS.2012.6266323

M3 - Conference proceeding

AN - SCOPUS:84867313918

SN - 9781467320511

T3 - Proceedings - IEEE Symposium on Computer-Based Medical Systems

BT - Proceedings of the 25th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2012

T2 - 25th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2012

Y2 - 20 June 2012 through 22 June 2012

ER -

Argumentation theory in health care

Abstract

Publication series

Conference

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this