A New Search Method Using Association Rule Mining for Drug-Drug Interaction Based on Spontaneous Report System.

Noguchi, Yoshihiro; Ueno, Anri; Otsubo, Manami; Katsuno, Hayato; Sugita, Ikuto; Kanematsu, Yuta; Yoshida, Aki; Esaki, Hiroki; Tachi, Tomoya; Teramachi, Hitomi

Noguchi, Yoshihiro; Ueno, Anri; Otsubo, Manami; Katsuno, Hayato; Sugita, Ikuto; Kanematsu, Yuta; Yoshida, Aki; Esaki, Hiroki; Tachi, Tomoya; Teramachi, Hitomi.

Afiliação

Noguchi Y; Laboratory of Clinical Pharmacy, Gifu Pharmaceutical University, Gifu, Japan.
Ueno A; Laboratory of Clinical Pharmacy, Gifu Pharmaceutical University, Gifu, Japan.
Otsubo M; Laboratory of Clinical Pharmacy, Gifu Pharmaceutical University, Gifu, Japan.
Katsuno H; Laboratory of Clinical Pharmacy, Gifu Pharmaceutical University, Gifu, Japan.
Sugita I; Laboratory of Clinical Pharmacy, Gifu Pharmaceutical University, Gifu, Japan.
Kanematsu Y; Laboratory of Clinical Pharmacy, Gifu Pharmaceutical University, Gifu, Japan.
Yoshida A; Laboratory of Clinical Pharmacy, Gifu Pharmaceutical University, Gifu, Japan.
Esaki H; Laboratory of Clinical Pharmacy, Gifu Pharmaceutical University, Gifu, Japan.
Tachi T; Laboratory of Clinical Pharmacy, Gifu Pharmaceutical University, Gifu, Japan.
Teramachi H; Laboratory of Clinical Pharmacy, Gifu Pharmaceutical University, Gifu, Japan.

Front Pharmacol ; 9: 197, 2018.

Article em En | MEDLINE | ID: mdl-29593533

Palavras-chave

apriori algorithm; association rule mining; drug-drug interaction; signal detection; spontaneous reporting systems

Texto completo

Adicionar na Minha BVS

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Pharmacol Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Japão País de publicação: Suíça

Texto completo

Adicionar na Minha BVS

Imprimir

XML

PubMed Links

Buscar no Google