Argumentation-Logic for Explaining Anomalous Patient Responses to Treatments

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

Argumentation-Logic for Explaining Anomalous Patient Responses to Treatments

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

Computing Science

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

5 Citations (Scopus)

Abstract

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
Title of host publication	AIME 2011 Conference Proceedings
Place of Publication	Berlin
Publisher	Springer
Publication status	Published - 2011

Keywords

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

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Cite this

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title = "Argumentation-Logic for Explaining Anomalous Patient Responses to Treatments",

abstract = "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.",

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T1 - Argumentation-Logic for Explaining Anomalous Patient Responses to Treatments

AU - Grando, Maria Adela

AU - Moss, Laura

AU - Glasspool, David

AU - Sleeman, Derek

AU - Sim, Malcolm

AU - Gilhooly, Charlotte

AU - Kinsella, John

PY - 2011

Y1 - 2011

N2 - 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.

AB - 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.

KW - knowledge-based expert systems

KW - explanation

KW - argumentation logic

KW - ontology

KW - intensive care unit

M3 - Conference contribution

BT - AIME 2011 Conference Proceedings

PB - Springer

CY - Berlin

ER -