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Authors: Célia Boyer 1 ; Allan Hanbury 2 ; Patrick Ruch 3 and Gilles Falquet 4

Affiliations: 1 Health On Net Foudation, Switzerland ; 2 Vienna University of Technology, Austria ; 3 University Hospital Geneva, Switzerland ; 4 Knowledge Engineering, Institute for Information Service Science (ISS) within the Center for Computing (CUI) at the University of Geneva, Switzerland

Abstract: How to identify, when searching on the Web, the quality or the trustworthiness of a health website, is a question that is not easy to answer. The Health On the Net Foundation (HON) Code of Conduct, HONcode, is the oldest and the most used ethical and trustworthy Code of Conduct for medical and health information available on the Internet. Today, a limited number of Health websites apply and are evaluated manually by an expert medical team according to eight HONcode principles and associated published guidelines. In the scope of the European project Kconnect, based on the HONcode, HON is developing tools to retrieve reliable health information on the Internet adapted to the level of health literacy of the reader. In this article, we investigate different approaches to solve the problems and limitations of the automated system for some of the HONcode criteria based on a supervised machine learning approach.

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Paper citation in several formats:
Boyer, C.; Hanbury, A.; Ruch, P. and Falquet, G. (2016). Tools to Retrieve Reliable Health Information on the Internet - Improvements of the Automated Detection of HONcode Criteria for Mass Health Online Content. In European Project Space on Intelligent Technologies, Software engineering, Computer Vision, Graphics, Optics and Photonics - EPS Rome 2016; ISBN 978-989-758-206-6, SciTePress, pages 56-71. DOI: 10.5220/0007903800560071

@conference{eps rome 201616,
author={Célia Boyer. and Allan Hanbury. and Patrick Ruch. and Gilles Falquet.},
title={Tools to Retrieve Reliable Health Information on the Internet - Improvements of the Automated Detection of HONcode Criteria for Mass Health Online Content},
booktitle={European Project Space on Intelligent Technologies, Software engineering, Computer Vision, Graphics, Optics and Photonics - EPS Rome 2016},
year={2016},
pages={56-71},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007903800560071},
isbn={978-989-758-206-6},
}

TY - CONF

JO - European Project Space on Intelligent Technologies, Software engineering, Computer Vision, Graphics, Optics and Photonics - EPS Rome 2016
TI - Tools to Retrieve Reliable Health Information on the Internet - Improvements of the Automated Detection of HONcode Criteria for Mass Health Online Content
SN - 978-989-758-206-6
AU - Boyer, C.
AU - Hanbury, A.
AU - Ruch, P.
AU - Falquet, G.
PY - 2016
SP - 56
EP - 71
DO - 10.5220/0007903800560071
PB - SciTePress

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