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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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Jedsada Chartree, Angel Bravo-Salgado, Tamara Jimenez and Armin R. Mikler

4 Predicting dengue incidence in Thailand from online search queries that include weather and climatic variables

Abstract: This chapter presents machine learning techniques to help public health agencies mitigate vector borne disease, in particular dengue outbreaks. The methods presented in this study will predict the number of dengue cases so that public health authorities may devise adequate interventions to address dengue outbreaks. Search queries from digital sources are used to forecast the number of dengue cases prior to officially reported cases. This is achieved by processing query terms related to vector-borne dengue disease. Climate has been correlated to the ...

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