Assessing the impact of a health intervention via user-generated Internet content

Data Mining and Knowledge Discovery

Volumn 29, Issue 5, 2015, Pages 1434-1457

  Lampos, Vasileios ^a   Yom Tov, Elad ^b   Pebody, Richard ^c   Cox, Ingemar J ^a,d  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

^b MICROSOFT RESEARCH   (United States)

^c PUBLIC HEALTH ENGLAND   (United Kingdom)

^d UNIVERSITY OF COPENHAGEN   (Denmark)

Author keywords

Gaussian Process; Infectious diseases; Intervention; Search query logs; Social media; Supervised learning; User generated content

Indexed keywords

HEALTH; INFORMATION RETRIEVAL; INTERNET; POPULATION STATISTICS; REGRESSION ANALYSIS; SEARCH ENGINES; SOCIAL NETWORKING (ONLINE); SUPERVISED LEARNING; VACCINES;

GAUSSIAN PROCESSES; INFECTIOUS DISEASE; INTERVENTION; SEARCH QUERIES; SOCIAL MEDIA; USER-GENERATED CONTENT;

DISEASES;

EID: 84939572831     PISSN: 13845810     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10618-015-0427-9     Document Type: Article

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