Argumentation-logic for explaining anomalous patient responses to treatments

Maria Adela Grando; Laura Moss; David Glasspool; Derek Sleeman; Malcolm Sim; Charlotte Gilhooly; John Kinsella

doi:10.1007/978-3-642-22218-4_5

Argumentation-logic for explaining anomalous patient responses to treatments

Maria Adela Grando, Laura Moss, David Glasspool, Derek Sleeman, Malcolm Sim, Charlotte Gilhooly, John Kinsella

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

5 Scopus citations

Abstract

The EIRA system has proved to be successful in the detection of anomalous patient responses to treatments in the Intensive Care Unit (ICU). One weakness of EIRA is the lack of mechanisms to describe to the clinicians, rationales behind the anomalous detections. In this paper, we extend EIRA by providing it with an argumentation-based justification system that formalizes and communicates to the clinicians the reasons why a patient response is anomalous. The implemented justification system uses human-like argumentation techniques and is based on real dialogues between ICU clinicians.

Original language	English (US)
Title of host publication	Artificial Intelligence in Medicine - 13th Conference on Artificial Intelligence in Medicine, AIME 2011, Proceedings
Pages	35-44
Number of pages	10
DOIs	https://doi.org/10.1007/978-3-642-22218-4_5
State	Published - 2011
Externally published	Yes
Event	13th Conference on Artificial Intelligence in Medicine, AIME 2011 - Bled, Slovenia Duration: Jul 2 2011 → Jul 6 2011

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	6747 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	13th Conference on Artificial Intelligence in Medicine, AIME 2011
Country/Territory	Slovenia
City	Bled
Period	7/2/11 → 7/6/11

Keywords

argumentation logic
explanation
intensive care unit
knowledge-based expert systems
ontology

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-642-22218-4_5

Cite this

Grando, M. A., Moss, L., Glasspool, D., Sleeman, D., Sim, M., Gilhooly, C., & Kinsella, J. (2011). Argumentation-logic for explaining anomalous patient responses to treatments. In Artificial Intelligence in Medicine - 13th Conference on Artificial Intelligence in Medicine, AIME 2011, Proceedings (pp. 35-44). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6747 LNAI). https://doi.org/10.1007/978-3-642-22218-4_5

Argumentation-logic for explaining anomalous patient responses to treatments. / Grando, Maria Adela; Moss, Laura; Glasspool, David et al.
Artificial Intelligence in Medicine - 13th Conference on Artificial Intelligence in Medicine, AIME 2011, Proceedings. 2011. p. 35-44 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6747 LNAI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Grando, MA, Moss, L, Glasspool, D, Sleeman, D, Sim, M, Gilhooly, C & Kinsella, J 2011, Argumentation-logic for explaining anomalous patient responses to treatments. in Artificial Intelligence in Medicine - 13th Conference on Artificial Intelligence in Medicine, AIME 2011, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 6747 LNAI, pp. 35-44, 13th Conference on Artificial Intelligence in Medicine, AIME 2011, Bled, Slovenia, 7/2/11. https://doi.org/10.1007/978-3-642-22218-4_5

Grando MA, Moss L, Glasspool D, Sleeman D, Sim M, Gilhooly C et al. Argumentation-logic for explaining anomalous patient responses to treatments. In Artificial Intelligence in Medicine - 13th Conference on Artificial Intelligence in Medicine, AIME 2011, Proceedings. 2011. p. 35-44. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-22218-4_5

Grando, Maria Adela ; Moss, Laura ; Glasspool, David et al. / Argumentation-logic for explaining anomalous patient responses to treatments. Artificial Intelligence in Medicine - 13th Conference on Artificial Intelligence in Medicine, AIME 2011, Proceedings. 2011. pp. 35-44 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Argumentation-logic for explaining anomalous patient responses to treatments

Abstract

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Keywords

ASJC Scopus subject areas

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