Towards Identifying and Reducing the Bias of Disease Information Extracted from Search Engine Data

The estimation of disease prevalence in online search engine data (e.g., Google Flu Trends (GFT)) has received a considerable amount of scholarly and public attention in recent years. While the utility of search engine data for disease surveillance has been demonstrated, the scientific community sti...

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Detalles Bibliográficos
Autores principales: Huang, Da-Cang, Wang, Jin-Feng, Huang, Ji-Xia, Sui, Daniel Z., Zhang, Hong-Yan, Hu, Mao-Gui, Xu, Cheng-Dong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4894584/
https://www.ncbi.nlm.nih.gov/pubmed/27271698
http://dx.doi.org/10.1371/journal.pcbi.1004876

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4894584/
https://www.ncbi.nlm.nih.gov/pubmed/27271698
http://dx.doi.org/10.1371/journal.pcbi.1004876

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