Practical comparison of aberration detection algorithms for biosurveillance systems.

Zhou, Hong; Burkom, Howard; Winston, Carla A; Dey, Achintya; Ajani, Umed

Zhou, Hong; Burkom, Howard; Winston, Carla A; Dey, Achintya; Ajani, Umed.

Afiliação

Zhou H; Centers for Disease Control and Prevention, 1600 Clifton Road, Atlanta, GA 30333, United States. Electronic address: fwd6@cdc.gov.
Burkom H; Johns Hopkins Applied Physics Laboratory, 11100 Johns Hopkins Road, Laurel, MD 20723, United States.
Winston CA; Veterans Health Administration, Office of Public Health Surveillance and Research, 3801 Miranda Avenue (132), Palo Alto, CA 94304, United States.
Dey A; Centers for Disease Control and Prevention, 1600 Clifton Road, Atlanta, GA 30333, United States.
Ajani U; Centers for Disease Control and Prevention, 1600 Clifton Road, Atlanta, GA 30333, United States.

J Biomed Inform ; 57: 446-55, 2015 Oct.

Article em En | MEDLINE | ID: mdl-26334478

Assuntos

Algoritmos; Biovigilância; Surtos de Doenças; Centers for Disease Control and Prevention, U.S.; Modelos Lineares; Vigilância da População; Sensibilidade e Especificidade; Estados Unidos

Palavras-chave

Aberration detection; Algorithm; Biosurveillance; Control chart; Poisson regression

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Algoritmos / Surtos de Doenças / Biovigilância Tipo de estudo: Diagnostic_studies / Screening_studies País/Região como assunto: America do norte Idioma: En Ano de publicação: 2015 Tipo de documento: Article

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