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Text Mining of Web-Based Medical Content by Amy Neustein, Hua Xu, Keith M. Williams, António S. Teixeira, Hanna Suominen, Liana Stanescu, Marina Sokolova, Vicente Salcedo, Mario Rodrigues, Cecile Paris, Oyelami Olufemi Moses, Jose Borras Morell, Armin R. Mikler, Stan Matwin, Randi Karlsen, Tamara Jimenez, S. Sagar Imambi, Leif Hanlen, Kambiz Ghazinour, Liliana Ferreira, Joshua C. Denny, Jedsada Chartree, Dumitru Dan Burdescu, Marius Brezovan, Angel Bravo-Salgado, Johan Bellika

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Kambiz Ghazinour, Marina Sokolova and Stan Matwin

5 A study of personal health information posted online: using machine learning to validate the importance of the terms detected by MedDRA and SNOMED in revealing health informationin social media

Abstract: With the increasing amount of personal information that is shared on social networks, it is possible that the users might inadvertently reveal some personal health information. In this work, we show that personal health information can be detected and, if necessary, protected. We present empirical support for this hypothesis, and furthermore we show how two existing well-known electronic medical resources MedDRA and SNOMED help to detect personal health information (PHI) in messages retrieved ...

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