Computational Argumentation-based Clinical Decision Support

Martin Chapman; Panagiotis Balatsoukas; Mark Ashworth; Vasa Curcin; Nadin Kökciyan; Kai Essers; Isabel Sassoon; Sanjay Modgil; Simon Parsons; Elizabeth I. Sklar

Computational Argumentation-based Clinical Decision Support

Martin Chapman, Panagiotis Balatsoukas, Mark Ashworth, Vasa Curcin, Nadin Kökciyan, Kai Essers, Isabel Sassoon, Sanjay Modgil, Simon Parsons, Elizabeth I. Sklar

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

Abstract

This demonstration highlights the design of the CONSULT system, a modular decision-support system (DSS) intended to help patient suffering from chronic conditions self-manage their treatments. The system takes input from multiple sources, including commercial wellness sensors and a patient’s electronic health record, to inform a computational argumentation engine that constructs weighted opinions using these inputs and knowledge about their sources, and uses an interaction agent driven by argumentation-based dialogue to respond to user queries.

Original language	English
Title of host publication	Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems
Place of Publication	Richland, SC
Publisher	International Foundation for Autonomous Agents and Multiagent Systems
Pages	2345-2347
Number of pages	3
ISBN (Print)	978-1-4503-6309-9
Publication status	Published - 8 May 2019
Event	International Conference on Autonomous Agents and Multi-Agent Systems 2019 - Montreal, Canada Duration: 13 May 2019 → 17 May 2019 http://aamas2019.encs.concordia.ca/ http://aamas2019.encs.concordia.ca/

Conference

Conference	International Conference on Autonomous Agents and Multi-Agent Systems 2019
Abbreviated title	AAMAS 2019
Country/Territory	Canada
City	Montreal
Period	13/05/19 → 17/05/19
Internet address	http://aamas2019.encs.concordia.ca/ http://aamas2019.encs.concordia.ca/

Keywords / Materials (for Non-textual outputs)

Argumentation
Human-agent interaction
Decision-support tool

Access to Document

http://dl.acm.org/citation.cfm?id=3306127.3332107Licence: All Rights Reserved

Cite this

Chapman, M., Balatsoukas, P., Ashworth, M., Curcin, V., Kökciyan, N., Essers, K., Sassoon, I., Modgil, S., Parsons, S., & Sklar, E. I. (2019). Computational Argumentation-based Clinical Decision Support. In Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems (pp. 2345-2347). International Foundation for Autonomous Agents and Multiagent Systems. http://dl.acm.org/citation.cfm?id=3306127.3332107

@inproceedings{782eca7ddb8741888a7dcc84cc6c938d,

title = "Computational Argumentation-based Clinical Decision Support",

abstract = "This demonstration highlights the design of the CONSULT system, a modular decision-support system (DSS) intended to help patient suffering from chronic conditions self-manage their treatments. The system takes input from multiple sources, including commercial wellness sensors and a patient{\textquoteright}s electronic health record, to inform a computational argumentation engine that constructs weighted opinions using these inputs and knowledge about their sources, and uses an interaction agent driven by argumentation-based dialogue to respond to user queries.",

keywords = "Argumentation, Human-agent interaction, Decision-support tool",

author = "Martin Chapman and Panagiotis Balatsoukas and Mark Ashworth and Vasa Curcin and Nadin K{\"o}kciyan and Kai Essers and Isabel Sassoon and Sanjay Modgil and Simon Parsons and Sklar, {Elizabeth I.}",

year = "2019",

month = may,

day = "8",

language = "English",

isbn = "978-1-4503-6309-9",

pages = "2345--2347",

booktitle = "Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems",

publisher = "International Foundation for Autonomous Agents and Multiagent Systems",

note = "International Conference on Autonomous Agents and Multi-Agent Systems 2019, AAMAS 2019 ; Conference date: 13-05-2019 Through 17-05-2019",

url = "http://aamas2019.encs.concordia.ca/, http://aamas2019.encs.concordia.ca/",

}

Chapman, M, Balatsoukas, P, Ashworth, M, Curcin, V, Kökciyan, N, Essers, K, Sassoon, I, Modgil, S, Parsons, S & Sklar, EI 2019, Computational Argumentation-based Clinical Decision Support. in Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems. International Foundation for Autonomous Agents and Multiagent Systems, Richland, SC, pp. 2345-2347, International Conference on Autonomous Agents and Multi-Agent Systems 2019, Montreal, Quebec, Canada, 13/05/19. <http://dl.acm.org/citation.cfm?id=3306127.3332107>

Computational Argumentation-based Clinical Decision Support. / Chapman, Martin; Balatsoukas, Panagiotis; Ashworth, Mark et al.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems. Richland, SC: International Foundation for Autonomous Agents and Multiagent Systems, 2019. p. 2345-2347.

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

TY - GEN

T1 - Computational Argumentation-based Clinical Decision Support

AU - Chapman, Martin

AU - Balatsoukas, Panagiotis

AU - Ashworth, Mark

AU - Curcin, Vasa

AU - Kökciyan, Nadin

AU - Essers, Kai

AU - Sassoon, Isabel

AU - Modgil, Sanjay

AU - Parsons, Simon

AU - Sklar, Elizabeth I.

PY - 2019/5/8

Y1 - 2019/5/8

N2 - This demonstration highlights the design of the CONSULT system, a modular decision-support system (DSS) intended to help patient suffering from chronic conditions self-manage their treatments. The system takes input from multiple sources, including commercial wellness sensors and a patient’s electronic health record, to inform a computational argumentation engine that constructs weighted opinions using these inputs and knowledge about their sources, and uses an interaction agent driven by argumentation-based dialogue to respond to user queries.

AB - This demonstration highlights the design of the CONSULT system, a modular decision-support system (DSS) intended to help patient suffering from chronic conditions self-manage their treatments. The system takes input from multiple sources, including commercial wellness sensors and a patient’s electronic health record, to inform a computational argumentation engine that constructs weighted opinions using these inputs and knowledge about their sources, and uses an interaction agent driven by argumentation-based dialogue to respond to user queries.

KW - Argumentation

KW - Human-agent interaction

KW - Decision-support tool

M3 - Conference contribution

SN - 978-1-4503-6309-9

SP - 2345

EP - 2347

BT - Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems

PB - International Foundation for Autonomous Agents and Multiagent Systems

CY - Richland, SC

T2 - International Conference on Autonomous Agents and Multi-Agent Systems 2019

Y2 - 13 May 2019 through 17 May 2019

ER -

Computational Argumentation-based Clinical Decision Support

Abstract

Conference

Keywords / Materials (for Non-textual outputs)

Access to Document

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Cite this