Optimizing Social Interaction - A Computational Approach to Support Patient Engagement

Italo Zoppis, Riccardo Dondi, Eugenio Santoro, Gianluca Castelnuovo, Francesco Sicurello, Giancarlo Mauri

2018

Abstract

Social media can directly support disease management by creating online spaces where patients can interact with clinicians, and share experiences with other patients. Nevertheless, much more work remains to be carried out for providing and sharing an optimized information content. In this paper we formulate, from a theoretical perspective, an optimization problem aimed to encourage the creation of a sub-network of patients which, being recently diagnosed, wish to deepen their knowledge about their pathologies with some other patients, whose clinical profile turn to be similar, and have already been followed up within specific, even alternative, care centers. We will focus on the hardness of the proposed problem and provide a Genetic Algorithm (GA-based) approach to seek faster approximated solutions.

Paper Citation

in Harvard Style

Zoppis I., Dondi R., Santoro E., Castelnuovo G., Sicurello F. and Mauri G. (2018). Optimizing Social Interaction - A Computational Approach to Support Patient Engagement.In Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: AI4Health, ISBN 978-989-758-281-3, pages 651-657. DOI: 10.5220/0006730606510657

in Bibtex Style

@conference{ai4health18,
author={Italo Zoppis and Riccardo Dondi and Eugenio Santoro and Gianluca Castelnuovo and Francesco Sicurello and Giancarlo Mauri},
title={Optimizing Social Interaction - A Computational Approach to Support Patient Engagement},
booktitle={Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: AI4Health,},
year={2018},
pages={651-657},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006730606510657},
isbn={978-989-758-281-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: AI4Health,
TI - Optimizing Social Interaction - A Computational Approach to Support Patient Engagement
SN - 978-989-758-281-3
AU - Zoppis I.
AU - Dondi R.
AU - Santoro E.
AU - Castelnuovo G.
AU - Sicurello F.
AU - Mauri G.
PY - 2018
SP - 651
EP - 657
DO - 10.5220/0006730606510657