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Management of Medical Website Quality Labels via Web Mining
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Author(s): Vangelis Karkaletsis (National Center of Scientific Research “Demokritos”, Greece), Konstantinos Stamatakis (National Center of Scientific Research “Demokritos”, Greece), Pythagoras Karampiperis (National Center of Scientific Research “Demokritos”, Greece), Martin Labský (University of Economics, Prague, Czech Republic), Marek Růžička (University of Economics, Prague, Czech Republic), Vojtěch Svátek (University of Economics, Prague, Czech Republic), Enrique Amigó Cabrera (ETSI Informática, UNED, Spain), Matti Pöllä (Helsinki University of Technology, Finland), Miquel Angel Mayer (Medical Association of Barcelona (COMB), Spain)and Dagmar Villarroel Gonzales (Agency for Quality in Medicine (AquMed), Germany)
Copyright: 2009
Pages: 21
Source title:
Data Mining and Medical Knowledge Management: Cases and Applications
Source Author(s)/Editor(s): Petr Berka (University of Economics, Prague, Czech Republic), Jan Rauch (University of Economics, Prague, Czech Republic)and Djamel Abdelkader Zighed (University of Lumiere Lyon 2, France)
DOI: 10.4018/978-1-60566-218-3.ch010
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Abstract
The World Wide Web is an important channel of information exchange in many domains, including the medical one. The ever increasing amount of freely available healthcare-related information generates, on the one hand, excellent conditions for self-education of patients as well as physicians, but on the other hand, entails substantial risks if such information is trusted irrespective of low competence or even bad intentions of its authors. This is why medical Web site certification, also called quality labeling, by renowned authorities is of high importance. In this respect, it recently became obvious that the labelling process could benefit from employment of Web mining and information extraction techniques, in combination with flexible methods of Web-based information management developed within the Semantic Web initiative. Achieving such synergy is the central issue in the MedIEQ project. The AQUA (Assisting Quality Assessment) system, developed within the MedIEQ project, aims to provide the infrastructure and the means to organize and support various aspects of the daily work of labelling experts.
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