Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/2027
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dc.contributor.authorBardak, Batuhan-
dc.contributor.authorTan, Mehmet-
dc.date.accessioned2019-07-10T14:42:47Z
dc.date.available2019-07-10T14:42:47Z
dc.date.issued2015-12-28
dc.identifier.citationBardak, B., & Tan, M. (2015, November). Prediction of influenza outbreaks by integrating Wikipedia article access logs and Google flu trend data. In 2015 IEEE 15th International Conference on Bioinformatics and Bioengineering (BIBE) (pp. 1-6). IEEE.en_US
dc.identifier.isbn978-146737983-0
dc.identifier.urihttps://ieeexplore.ieee.org/document/7367640-
dc.identifier.urihttps://hdl.handle.net/20.500.11851/2027-
dc.description15th International Conference on Bioinformatics and Bioengineering (2015 : Belgrade; Serbia)
dc.description.abstractPrediction of influenza outbreaks is of utmost importance for health practitioners, officers and people. After the increasing usage of internet, it became easier and more valuable to fetch and process internet search query data. There are two significant platforms that people widely use, Google and Wikipedia. In both platforms, access logs are available which means that we can see how often any query/article was searched. Google has its own web service for monitoring and forecasting influenza-illness which is called the Google Flu Trends. It provides estimates of influenza activity for some countries. The second alternative is Wikipedia access logs which provide the number of visits for the articles on Wikipedia. There are papers which work with these platforms separately. In this paper, we propose a new technique to use these two sources together to improve the prediction of influenza outbreaks. We achieved promising results for both nowcasting and forecasting with linear regression models. © 2015 IEEE.en_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartof2015 IEEE 15th International Conference on Bioinformatics and Bioengineeringen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectSocial Mediaen_US
dc.subjectInterneten_US
dc.subjectsearch queriesen_US
dc.titlePrediction of influenza outbreaks by integrating Wikipedia article access logs and Google flu trend dataen_US
dc.typeConference Objecten_US
dc.departmentFaculties, Faculty of Engineering, Department of Computer Engineeringen_US
dc.departmentFakülteler, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümütr_TR
dc.authorid0000-0002-1741-0570-
dc.identifier.scopus2-s2.0-84962788689en_US
dc.institutionauthorTan, Mehmet-
dc.identifier.doi10.1109/BIBE.2015.7367640-
dc.authorwosidI-2328-2019-
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
item.grantfulltextnone-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.languageiso639-1en-
item.cerifentitytypePublications-
item.fulltextNo Fulltext-
item.openairetypeConference Object-
crisitem.author.dept02.3. Department of Computer Engineering-
crisitem.author.dept02.3. Department of Computer Engineering-
Appears in Collections:Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
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