Optimizing social interaction a computational approach to support patient engagement

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

Risultato della ricerca: Contributo in libroContributo a convegno

3 Citazioni (Scopus)

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.
Lingua originaleEnglish
Titolo della pubblicazione ospiteProceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: AI4Health
Pagine651-657
Numero di pagine7
Volume5
DOI
Stato di pubblicazionePubblicato - 2018
Evento11th International Conference on Health Informatics, HEALTHINF 2018 - Part of 11th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2018 - Madeira, Portugal
Durata: 19 gen 201821 gen 2018

Convegno

Convegno11th International Conference on Health Informatics, HEALTHINF 2018 - Part of 11th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2018
CittàMadeira, Portugal
Periodo19/1/1821/1/18

Keywords

  • Cohesive Sub-Graphs
  • Genetic Algorithms
  • Optimization
  • Social Networks

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