Rationale and performances of a data-driven method for computing the duration of pharmacological prescriptions using secondary data sources.

Pazzagli, Laura; Liang, David; Andersen, Morten; Linder, Marie; Khan, Abdul Rauf; Sessa, Maurizio

Pazzagli, Laura; Liang, David; Andersen, Morten; Linder, Marie; Khan, Abdul Rauf; Sessa, Maurizio.

Afiliação

Pazzagli L; Department of Medicine Solna, Centre for Pharmacoepidemiology, Karolinska Institutet, Stockholm, Sweden. laura.pazzagli@ki.se.
Liang D; Ferring Pharmaceuticals, Copenhagen, Denmark.
Andersen M; Department of Drug Design and Pharmacology, University of Copenhagen, Copenhagen, Denmark.
Linder M; Department of Medicine Solna, Centre for Pharmacoepidemiology, Karolinska Institutet, Stockholm, Sweden.
Khan AR; Department of Drug Design and Pharmacology, University of Copenhagen, Copenhagen, Denmark.
Sessa M; Department of Applied Mathematics and Computer Science, Technical University of Denmark, Lyngby, Denmark.

Sci Rep ; 12(1): 6245, 2022 04 15.

Article em En | MEDLINE | ID: mdl-35428827

Assuntos

Armazenamento e Recuperação da Informação; Prescrições; Coleta de Dados

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Armazenamento e Recuperação da Informação / Prescrições Idioma: En Ano de publicação: 2022 Tipo de documento: Article

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