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User Profile Detection in Health Online Fora
Camille Pertin, Carole Deccache, Rémi Gagnayre, Thierry Hamon
730 - 734
10.3233/978-1-61499-852-5-730
Studies in Health Technology and Informatics
Volume 247: Building Continents of Knowledge in Oceans of Data: The Future of Co-Created eHealth
Abstract

Exchanges between diabetic patients on discussion fora permit to study their understanding of their disorder, their behavior and needs when facing health problems. When analyzing these exchanges and behavior, it is necessary to collect information on user profile. We present an approach combining lexicon and super-vised classifiers for the identification of age and gender of contributors, their disorders and relation between contributor and patient. According to parameters of the method, precision is between 100% for gender and 53.48% for disorders.

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