Analysis of Online Health-Related User-Generated Content

author: Vagelis Hristidis, Department of Computer Science and Engineering, University of California, Riverside
published: Dec. 1, 2017,   recorded: August 2017,   views: 698

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An increasing amount of health-related content is posted online by patients, ranging from health forums to provider reviews. Analyzing this mostly text information can discover health trends and help patients make more informed decisions. We will discuss about the technical challenges involved in analyzing such data, including the use of biomedical ontologies, concept extraction, training set expansion and summarization. Completed and ongoing work on various application will be presented.

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