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 - http://www.scopus.com/inward/record.url?scp=84867313918&partnerID=8YFLogxK
U2 - 10.1109/CBMS.2012.6266323
DO - 10.1109/CBMS.2012.6266323
M3 - Conference contribution
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 -