Investigating classification supervised learning approaches for the identification of critical patients’ posts in a healthcare social network-Reference-Cited by-同舟云学术

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Investigating classification supervised learning approaches for the identification of critical patients’ posts in a healthcare social network

Published:2020-05 Issue: Volume:90 Page:106155
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Carnevale Lorenzo,Celesti Antonio^ORCID,Fiumara Giacomo,Galletta Antonino^ORCID,Villari Massimo

Funder

Italian Healthcare Ministry founded project Young Researcher

Publisher

Elsevier BV

Subject

Software

Reference46 articles.

1. Ehealth market projected to reach USD 308.0 billion by 2022,2016

2. European commission. ehealth action plan 2012-2020: Innovative healthcare for the 21st century,2012

3. Exploiting the fiware cloud platform to develop a remote patient monitoring system;Fazio,2015

4. European commission. transformation of health and care in the digital single market,2014

5. G. Fiumara, A. Celesti, A. Galletta, L. Carnevale, M. Villari, 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 (BIOSTEC 2018), Funchal, Madeira, Portugal, January 19-21, 2018.

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