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Volumn , Issue , 2014, Pages 651-656

On the ground validation of online diagnosis with twitter and medical records

Author keywords

Digital epidemiology; Remote diagno sis; Twitter; Validation

Indexed keywords

SOCIAL NETWORKING (ONLINE); WORLD WIDE WEB;

EID: 84977841553     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2567948.2579272     Document Type: Conference Paper
Times cited : (20)

References (16)
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    • Towards detecting inuenza epidemics by analyzing Twitter messages
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    • (2010) The First Workshop , pp. 115-122
    • Culotta, A.1
  • 6
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    • Hot spots in a wired world: {WHO} surveillance of emerging and re-emerging infectious diseases
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    • R. L. Marquet, A. I. Bartelds, S. P. van Noort, C. E. Koppeschaar, J. Paget, F. G. Schellevis, and J. van der Zee. Internet-based monitoring of inuenza-like illness (ILI) in the general population of the Netherlands during the 2003-2004 inuenza season. BMC public health, 6(1):242, 2006.
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    • Marquet, R.L.1    Bartelds, A.I.2    Van Noort, S.P.3    Koppeschaar, C.E.4    Paget, J.5    Schellevis, F.G.6    Van Der Zee, J.7
  • 11
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    • Reassessing google flu trends data for detection of seasonal and pandemic inuenza: A comparative epidemiological study at three geographic scales
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    • D. R. Olson, K. J. Konty, M. Paladini, C. Viboud, and L. Simonsen. Reassessing Google Flu Trends Data for Detection of Seasonal and Pandemic Inuenza: A Comparative Epidemiological Study at Three Geographic Scales. PLoS computational biology, 9(10):e1003256, Oct. 2013.
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  • 14
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    • Combining classifiers with meta decision trees
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.