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Communication Dans Un Congrès Année : 2018

User profile detection in health online fora

Résumé

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 supervised classifiers for the identification of age and gender of contributors, their disorders and relation between contributor and patient. According to parameters of the method, we obtain precision between 100% for gender and 53.48% for disorders.
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Dates et versions

hal-01971156 , version 1 (06-01-2019)

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  • HAL Id : hal-01971156 , version 1

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Camille Pertin, Carole Deccache, Rémi Gagnayre, Thierry Hamon. User profile detection in health online fora. International Congress of the European Federation for Medical Informatics, Adrien Ugon, Daniel Karlsson, Gunnar O. Klein, Anne Moen, Apr 2018, Gothenburg, Sweden. ⟨hal-01971156⟩
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