SourceSeer: Forecasting rare disease outbreaks using multiple data sources

SIAM International Conference on Data Mining 2015, SDM 2015

Volumn , Issue , 2015, Pages 379-387

  Rekatsinas, Theodoras ^a   Ghosh, Saurav ^b   Mekaru, Sumiko R ^c   Nsoesie, Elaine O ^c   Brownstein, John S ^c   Getoor, Lise ^d   Ramakrishnan, Naren ^b  

^a University of Maryland ^*  (United States)

^b VIRGINIA POLYTECHNIC INSTITUTE AND STATE UNIVERSITY   (United States)

^c BOSTON CHILDREN S HOSPITAL   (United States)

^d University of California Santa Cruz   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ANOMALY DETECTION; DATA MINING; FORECASTING;

ALGORITHMIC FRAMEWORK; DATA-SOURCES; DISEASE OUTBREAKS; LATIN AMERICA; MULTIPLE DATA SOURCES; ONLINE NEWSPAPER; RARE DISEASE; SPATIO TEMPORAL;

DISEASES;

EID: 84961904287     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1137/1.9781611974010.43     Document Type: Conference Paper

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