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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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Preface

Text Mining of Web-Based Medical Content brings together a talented group of researchers devoted to the study of how to derive high quality information from online data sources, ranging from biomedical literature, electronic health records, query search terms, social media posts and tweets, to general health information found on the web. Using some of the latest empirical methods of knowledge extraction, the authors show how online content, generated by both professionals and laypersons, can be mined for valuable information about disease processes, adverse drug reactions not captured during clinical trials, and tropical fever outbreaks. In this anthology the authors show how to perform information extraction on a hospital intranet and ...

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