@inbook{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",
}
