Work

Towards Argumentation-based Recommendations for Personalised Patient Empowerment

Year: 2017

Type: conference-paper

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.

Source: IRIS UNIMORE (University of Modena and Reggio Emilia)

Authors: Juan Manuel Fernández, Marco Mamei, Stefano Mariani, Felip Miralles, Alexander Steblin, Eloisa Vargiu, Franco Zambonelli

Institutions: Universitat Autònoma de Barcelona, University of Modena and Reggio Emilia, Politecnico di Milano, University of Cagliari

Language: English

Topic: Recommender Systems and Techniques

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: green

Funder: Horizon 2020 Framework Programme

OpenAlex ID: W3104553845

FWCI: 0.359

Cites: 19

Cited by: 6

Related to: 10