Fuzzy association rule mining and classification for the prediction of malaria in South Korea.

Buczak, Anna L; Baugher, Benjamin; Guven, Erhan; Ramac-Thomas, Liane C; Elbert, Yevgeniy; Babin, Steven M; Lewis, Sheri H

Buczak, Anna L; Baugher, Benjamin; Guven, Erhan; Ramac-Thomas, Liane C; Elbert, Yevgeniy; Babin, Steven M; Lewis, Sheri H.

Afiliação

Buczak AL; Johns Hopkins University Applied Physics Laboratory, 11100 Johns Hopkins Rd, Laurel, MD, 20723-6099, USA. anna.buczak@jhuapl.edu.
Baugher B; Johns Hopkins University Applied Physics Laboratory, 11100 Johns Hopkins Rd, Laurel, MD, 20723-6099, USA.
Guven E; Johns Hopkins University Applied Physics Laboratory, 11100 Johns Hopkins Rd, Laurel, MD, 20723-6099, USA.
Ramac-Thomas LC; Johns Hopkins University Applied Physics Laboratory, 11100 Johns Hopkins Rd, Laurel, MD, 20723-6099, USA.
Elbert Y; Johns Hopkins University Applied Physics Laboratory, 11100 Johns Hopkins Rd, Laurel, MD, 20723-6099, USA.
Babin SM; Johns Hopkins University Applied Physics Laboratory, 11100 Johns Hopkins Rd, Laurel, MD, 20723-6099, USA.
Lewis SH; Johns Hopkins University Applied Physics Laboratory, 11100 Johns Hopkins Rd, Laurel, MD, 20723-6099, USA.

BMC Med Inform Decis Mak ; 15: 47, 2015 Jun 18.

Article em En | MEDLINE | ID: mdl-26084541

Assuntos

Mineração de Dados; Monitoramento Epidemiológico; Lógica Fuzzy; Malária/epidemiologia; Humanos; República da Coreia/epidemiologia

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Lógica Fuzzy / Mineração de Dados / Monitoramento Epidemiológico / Malária Idioma: En Ano de publicação: 2015 Tipo de documento: Article

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