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Active learning-based systematic reviewing using switching classification models: the case of the onset, maintenance, and relapse of depressive disorders.
Teijema, Jelle Jasper; Hofstee, Laura; Brouwer, Marlies; de Bruin, Jonathan; Ferdinands, Gerbrich; de Boer, Jan; Vizan, Pablo; van den Brand, Sofie; Bockting, Claudi; van de Schoot, Rens; Bagheri, Ayoub.
Afiliação
  • Teijema JJ; Department of Methodology and Statistics, Faculty of Social and Behavioral Sciences, Utrecht University, Utrecht, Netherlands.
  • Hofstee L; Department of Methodology and Statistics, Faculty of Social and Behavioral Sciences, Utrecht University, Utrecht, Netherlands.
  • Brouwer M; Amsterdam UMC, Department of Psychiatry and Centre for Urban Mental Health, University of Amsterdam, Amsterdam, Netherlands.
  • de Bruin J; Department of Research and Data Management Services, Information Technology Services, Utrecht University, Utrecht, Netherlands.
  • Ferdinands G; Department of Methodology and Statistics, Faculty of Social and Behavioral Sciences, Utrecht University, Utrecht, Netherlands.
  • de Boer J; Utrecht University Library, Utrecht University, Utrecht, Netherlands.
  • Vizan P; Department of Methodology and Statistics, Faculty of Social and Behavioral Sciences, Utrecht University, Utrecht, Netherlands.
  • van den Brand S; Department of Methodology and Statistics, Faculty of Social and Behavioral Sciences, Utrecht University, Utrecht, Netherlands.
  • Bockting C; Amsterdam UMC, Department of Psychiatry and Centre for Urban Mental Health, University of Amsterdam, Amsterdam, Netherlands.
  • van de Schoot R; Department of Methodology and Statistics, Faculty of Social and Behavioral Sciences, Utrecht University, Utrecht, Netherlands.
  • Bagheri A; Department of Methodology and Statistics, Faculty of Social and Behavioral Sciences, Utrecht University, Utrecht, Netherlands.
Front Res Metr Anal ; 8: 1178181, 2023.
Article em En | MEDLINE | ID: mdl-37260784

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Front Res Metr Anal Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Front Res Metr Anal Ano de publicação: 2023 Tipo de documento: Article