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Authors: Giacomo Fiumara 1 ; Antonio Celesti 2 ; Antonino Galletta 3 ; Lorenzo Carnevale 3 and Massimo Villari 3

Affiliations: 1 University of Messina, Italy ; 2 University of Messina and Alma Digit S.R.L. Research Labs, Italy ; 3 University of Messina and IRCCS Centro Neurolesi "Bonino Pulejo", Italy

ISBN: 978-989-758-281-3

Keyword(s): Healthcare, Social Network, Artificial Intelligence, Machine Learning.

Abstract: Nowadays, the possibility of using social media in the healthcare field is attracting the attention of clinical professionals and of the whole healthcare industry. In this panorama, many Healthcare Social Networking (HSN) platforms are emerging with the purpose to enhance patient care and education. However, they also present potential risks for patients due to the possible distribution of poor-quality or wrong information. On one hand doctors want to promote the exchange of information among patients about a specific disease, but on the other hand they do not have the time to read patients’ posts and moderate them when required. In this paper, we propose an Artificial Intelligence (AI) approach based on a combination of stemming, lemmatization and Machine Learnign (ML) algorithms that allows to automatically analyse the patients’ posts of a HSN platform and identify possible critical issues so as to enable doctors to intervene when required. In particular, after a discussion of advan tages and disadvantages of using a HSN platform, we discuss in detail an architecure that allows to analyse big data consisting of patients’ posts. In the end, real case studies are discussed highlighting future challenges. (More)

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Paper citation in several formats:
Fiumara, G.; Celesti, A.; Galletta, A.; Carnevale, L. and Villari, M. (2018). Applying Artificial Intelligence in Healthcare Social Networks to Identity Critical Issues in Patients’ Posts.In Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5 HEALTHINF: AI4Health, ISBN 978-989-758-281-3, pages 680-687. DOI: 10.5220/0006750606800687

@conference{ai4health18,
author={Giacomo Fiumara. and Antonio Celesti. and Antonino Galletta. and Lorenzo Carnevale. and Massimo Villari.},
title={Applying Artificial Intelligence in Healthcare Social Networks to Identity Critical Issues in Patients’ Posts},
booktitle={Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5 HEALTHINF: AI4Health,},
year={2018},
pages={680-687},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006750606800687},
isbn={978-989-758-281-3},
}

TY - CONF

JO - Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5 HEALTHINF: AI4Health,
TI - Applying Artificial Intelligence in Healthcare Social Networks to Identity Critical Issues in Patients’ Posts
SN - 978-989-758-281-3
AU - Fiumara, G.
AU - Celesti, A.
AU - Galletta, A.
AU - Carnevale, L.
AU - Villari, M.
PY - 2018
SP - 680
EP - 687
DO - 10.5220/0006750606800687

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