The Study of Patient Prediction Models on Flu, Pneumonia and HFMD Using Big Data
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Yu, Jong-Pil
(세종대학교 경영학과)
Lee, Byung-Uk (세종대학교 경영학과) Lee, Cha-min (세종대학교 경영학과) Lee, Ji-Eun (세종대학교 경영학과) Kim, Min-sung (세종대학교 경영학과) Hwang, Jae-won (세종대학교 경영학과) |
1 | Ginsberg, J., M. H. Mohebbi, R. S. Patel, L. Brammer, M. S. Smolinski, and Brilliant, L. (2009). Detecting influenza epidemics using search engine query data. Nature, 457(7232), 1012. DOI |
2 | Lazer, D. M., R. Kennedy, G. King, and A. Vespignani, "The parable of google flu : Traps in big data analysis", Science Magazine(AAAS), 2014. |
3 | Lazer D., R. Kennedy, G. King, A. Vespignani, "The parable of Google flu : traps in big data analysis", Science, Vol.343, No.6176, pp.1203-1205, 2014. DOI |
4 | Kelly, H. and K. Grant, "Interim analysis of pandemic influenza (H1N1) 2009 in Australia: surveillance trends, age of infection and effectiveness of seasonal vaccination", EuroSurveill, Vol.14, (31) : pii=1928 8, 2009. Available: http://www.eurosurveillance.org/ViewArticle.aspx?ArticleId=19288. |
5 | Wilson, N., K. Mason, M. Tobias, M. Peacey, QS Huang et al., "Interpreting ''GFT'' Data for Pandemic H1N1: The New Zealand Experience", EuroSurveill, Vol.14(44), pii=19386, 2009. Available : http://www.eurosurveillance.org/ViewArticle.aspx?ArticleId=19386. |
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