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Data-driven approach of Cusum algorithm in temporal aberrant event detection using interactive web applications

Bibliographic Data

ID8897804
AuthorsYe Li (0000-0002-5043-9797, Public Health Ontario, corresponding author), Michael Whelan (0000-0003-2858-5496, Public Health Ontario), Leigh Hobbs (Public Health Ontario), Wen Qi Fan (Public Health Ontario), Cecilia Fung (Public Health Ontario), Kenny K Wong (Public Health Ontario), Kenny Wong, Alex Marchand‐Austin (0000-0001-5932-2037, Public Health Ontario), Alex Marchand-Austin, Tina Badiani (Public Health Ontario), Ian Johnson (0000-0002-9476-6220, University of Toronto)
Year2016
Volume107
Issue1
Pagese9-e15
Publication date2016-01-01
Open AccessYes
TypeARTICLE
VenueCanadian Journal of Public Health (JOURNAL)
Journal identifiersISSN: 0008-4263 • E-ISSN: 1920-7476
PublisherSpringer Science+Business Media (PUBLISHER • DE)
DOI10.17269/cjph.107.5228
PMID27348117
OpenAlexW2460090577
LanguageEN
References cited6

Algorithm · CUSUM · Data mining · Event (particle physics · Statistics · Temporal database · Advanced Statistical Process Monitoring · Anomaly Detection Techniques and Applications · Artificial Intelligence · Computer Science · Mathematics · Time Series Analysis and Forecasting

  • The bioterrorism preparedness and response Early Aberration Reporting System (Ears)

    Open Access•Lori Hutwagner, William Thompson et al.•Journal of Urban Health•2003

Highly citedNo
Open DOISci-HubOpen Access
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