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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...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2016
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| Materias: | |
| 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 |