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Identification of polypharmacy patterns in new-users of metformin using the Apriori algorithm: A novel framework for investigating concomitant drug utilization through association rule mining.
Faquetti, Maria Luisa; la Torre, Adrian Martinez-De; Burkard, Theresa; Obozinski, Guillaume; Burden, Andrea M.
Afiliação
  • Faquetti ML; ETH Zurich, Department of Chemistry and Applied Biosciences, Institute of Pharmaceutical Sciences, Zurich, Switzerland.
  • la Torre AM; ETH Zurich, Department of Chemistry and Applied Biosciences, Institute of Pharmaceutical Sciences, Zurich, Switzerland.
  • Burkard T; ETH Zurich, Department of Chemistry and Applied Biosciences, Institute of Pharmaceutical Sciences, Zurich, Switzerland.
  • Obozinski G; EPFL, Swiss Data Science Center (SDSC), Lausanne, Switzerland.
  • Burden AM; ETH Zurich, Department of Chemistry and Applied Biosciences, Institute of Pharmaceutical Sciences, Zurich, Switzerland.
Pharmacoepidemiol Drug Saf ; 32(3): 366-381, 2023 03.
Article em En | MEDLINE | ID: mdl-36579709
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Diabetes Mellitus Tipo 2 / Efeitos Colaterais e Reações Adversas Relacionados a Medicamentos / Metformina Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adolescent / Adult / Female / Humans / Male Idioma: En Ano de publicação: 2023 Tipo de documento: Article
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Diabetes Mellitus Tipo 2 / Efeitos Colaterais e Reações Adversas Relacionados a Medicamentos / Metformina Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adolescent / Adult / Female / Humans / Male Idioma: En Ano de publicação: 2023 Tipo de documento: Article