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Towards Argumentation-based Recommendations for Personalised Patient Empowerment

Stefano Mariani, Juan Manuel Fernandez, Marco Mamei, Felip Miralles, Alexander Steblin, Eloisa Vargiu, Franco Zambonelli
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.
Presented by
2nd International Workshop on Health Recommender Systems co-located with the 11th International Conference on Recommender Systems (RecSys 2017)
Como, Italy