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A predictive model for next cycle start date that accounts for adherence in menstrual self-tracking.
Li, Kathy; Urteaga, Iñigo; Shea, Amanda; Vitzthum, Virginia J; Wiggins, Chris H; Elhadad, Noémie.
Afiliação
  • Li K; Department of Applied Physics and Applied Mathematics/Data Science Institute, Columbia University, New York, USA.
  • Urteaga I; Department of Applied Physics and Applied Mathematics/Data Science Institute, Columbia University, New York, USA.
  • Shea A; Clue by BioWink, Berlin, Germany.
  • Vitzthum VJ; Clue by BioWink, Berlin, Germany.
  • Wiggins CH; Kinsey Institute and Department of Anthropology, Indiana University, Bloomington, Indiana, USA.
  • Elhadad N; Department of Applied Physics and Applied Mathematics/Data Science Institute, Columbia University, New York, USA.
J Am Med Inform Assoc ; 29(1): 3-11, 2021 12 28.
Article em En | MEDLINE | ID: mdl-34534312
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Telemedicina / Aplicativos Móveis Idioma: En Ano de publicação: 2021 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Telemedicina / Aplicativos Móveis Idioma: En Ano de publicação: 2021 Tipo de documento: Article