Towards Argumentation-based Recommendations for Personalised Patient Empowerment


Juan Manuel Fernandez, Marco Mamei, Stefano Mariani, Felip Miralles, Alexander Steblin, Eloisa Vargiu, Franco Zambonelli

Proceedings of the 2nd International Workshop on Health Recommender Systems co-located with the 11th International Conference on Recommender Systems (RecSys 2017), pages 2  5
August 2017
CEUR Workshop Proceedings
David Elsweiler, Santiago Hors-Fraile, Bernd Ludwig, Alan Said, Hanna Schäfer, Christoph Trattner, Helma Torkamaan, André Calero Valdez (eds.)
Co-located with the 11th ACM Conference on Recommender Systems

Patient empowerment is a key issue in healthcare. Approaches to increase patient empowerment encompass patient self-management programs. In this paper we present ArgoRec, a recommender system that exploits argumentation for leveraging explanatory power and natural language interactions so as to improve patients’ user experience and quality of recommendations. ArgoRec is part of a great effort concerned with supporting complex chronic patients in, for instance, their daily life activities after hospitalisation, pursued within the CONNECARE project by following a co-design approach to define a comprehensive Self-Management System.

 @article{,
location = {Como, Italy},
year = 2017,
pdf-local = {healthRecSys17.pdf},
status = {Submitted},
venue_list = {--},
month = {August},
series = {International Workshop on Health Recommender Systems },
author = {Fernandez, Juan Manuel and Mamei, Marco and Mariani, Stefano and Miralles, Felip and Steblin, Alexander and Vargiu, Eloisa and Zambonelli, Franco},
title = {Towards Argumentation-based Recommendations for Personalised Patient Empowerment},
note = {Co-located with the 11th ACM Conference on Recommender Systems},
abstract = {Patient empowerment is a key issue in healthcare. Approaches to increase patient empowerment encompass patient self-management programs. In this paper we present ArgoRec, a recommender system that exploits argumentation for leveraging explanatory power and natural language interactions so as to improve patients’ user experience and quality of recommendations. ArgoRec is part of a great effort concerned with supporting complex chronic patients in, for instance, their daily life activities after hospitalisation, pursued within the CONNECARE project by following a co-design approach to define a comprehensive Self-Management System.},
organisation = {ACM}} 
Tags:

Publication

— authors

Juan Manuel Fernandez, Marco Mamei, Stefano Mariani, Felip Miralles, Alexander Steblin, Eloisa Vargiu, Franco Zambonelli

— editors

David Elsweiler, Santiago Hors-Fraile, Bernd Ludwig, Alan Said, Hanna Schäfer, Christoph Trattner, Helma Torkamaan, André Calero Valdez

— status

published

— sort

paper in proceedings

Venue

— volume

Proceedings of the 2nd International Workshop on Health Recommender Systems co-located with the 11th International Conference on Recommender Systems (RecSys 2017)

— volume

1953

— pages

2  5

— context

Como, Italy

— where

Como, Italy

— publication date

August 2017

URLs

original page  |  original PDF

Identifiers

— DOI

10.1145/3109859.3109955

— ACM

https://dl.acm.org/citation.cfm?doid=3109859.3109955

— DBLP

http://dblp.org/rec/conf/recsys/ElsweilerHLSSTT17

— print ISSN

1613-0073

— print ISBN

978-1-4503-4652-8

BibTeX

— BibTeX category
article

Partita IVA: 01131710376 - Copyright © 2008-2022 APICe@DISI Research Group - PRIVACY