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Volumn 14, Issue 1, 2018, Pages

Digital epidemiology: what is it, and where is it going?

Author keywords

[No Author keywords available]

Indexed keywords

ELECTRONIC HEALTH RECORD; EPIDEMIOLOGY; HUMAN; INFORMATION PROCESSING; PROCEDURES;

EID: 85040096804     PISSN: None     EISSN: 21957819     Source Type: Journal    
DOI: 10.1186/s40504-017-0065-7     Document Type: Article
Times cited : (134)

References (10)
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  • 2
    • 80051831902 scopus 로고    scopus 로고
    • Assessing Google flu trends performance in the United States during the 2009 influenza virus a (H1N1) pandemic
    • Cook S, Conrad C, Fowlkes AL, Mohebbi MH. Assessing Google flu trends performance in the United States during the 2009 influenza virus a (H1N1) pandemic. PLoS One. 2011;6(8):e23610.
    • (2011) PLoS One , vol.6 , Issue.8
    • Cook, S.1    Conrad, C.2    Fowlkes, A.L.3    Mohebbi, M.H.4
  • 4
    • 85016143105 scopus 로고    scopus 로고
    • Dermatologist-level classification of skin cancer with deep neural networks
    • Esteva A, Kuprel B, Novoa RA, Ko J, Swetter SM, Blau HM, Thrun S. Dermatologist-level classification of skin cancer with deep neural networks. Nature. 2017;542(7639):115–8.
    • (2017) Nature , vol.542 , Issue.7639 , pp. 115-118
    • Esteva, A.1    Kuprel, B.2    Novoa, R.A.3    Ko, J.4    Swetter, S.M.5    Blau, H.M.6    Thrun, S.7
  • 5
    • 70350642087 scopus 로고    scopus 로고
    • May. Fully homomorphic encryption using ideal lattices
    • Gentry, C. (2009), May. Fully homomorphic encryption using ideal lattices. In STOC (Vol. 9, No. 2009, pp. 169–178).
    • (2009) STOC , vol.9 , Issue.2009 , pp. 169-178
    • Gentry, C.1
  • 7
    • 84896056107 scopus 로고    scopus 로고
    • The parable of Google flu: traps in big data analysis
    • Lazer D, Kennedy R, King G, Vespignani A. The parable of Google flu: traps in big data analysis. Science. 2014;343(6176):1203–5.
    • (2014) Science , vol.343 , Issue.6176 , pp. 1203-1205
    • Lazer, D.1    Kennedy, R.2    King, G.3    Vespignani, A.4
  • 8
    • 84930630277 scopus 로고    scopus 로고
    • Deep learning
    • LeCun Y, Bengio Y, Hinton G. Deep learning. Nature. 2015;521(7553):436–44.
    • (2015) Nature , vol.521 , Issue.7553 , pp. 436-444
    • LeCun, Y.1    Bengio, Y.2    Hinton, G.3
  • 9
    • 84887293587 scopus 로고    scopus 로고
    • Reassessing Google flu trends data for detection of seasonal and pandemic influenza: a comparative epidemiological study at three geographic scales
    • Olson DR, Konty KJ, Paladini M, Viboud C, Simonsen L. Reassessing Google flu trends data for detection of seasonal and pandemic influenza: a comparative epidemiological study at three geographic scales. PLoS Comput Biol. 2013;9(10):e1003256.
    • (2013) PLoS Comput Biol , vol.9 , Issue.10
    • Olson, D.R.1    Konty, K.J.2    Paladini, M.3    Viboud, C.4    Simonsen, L.5
  • 10
    • 84890683224 scopus 로고    scopus 로고
    • Web-based participatory surveillance of infectious diseases: the Influenzanet participatory surveillance experience
    • Paolotti D, Carnahan A, Colizza V, Eames K, Edmunds J, Gomes G, et al. Web-based participatory surveillance of infectious diseases: the Influenzanet participatory surveillance experience. Clin Microbiol Infect. 2014;20(1):17–21.
    • (2014) Clin Microbiol Infect , vol.20 , Issue.1 , pp. 17-21
    • Paolotti, D.1    Carnahan, A.2    Colizza, V.3    Eames, K.4    Edmunds, J.5    Gomes, G.6


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.