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Using electronic health record data to link families: an illustrative example using intergenerational patterns of obesity.
Krefman, Amy E; Ghamsari, Farhad; Turner, Daniel R; Lu, Alice; Borsje, Martin; Wood, Colby Witherup; Petito, Lucia C; Polubriaginof, Fernanda C G; Schneider, Daniel; Ahmad, Faraz; Allen, Norrina B.
Afiliação
  • Krefman AE; Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.
  • Ghamsari F; Department of Internal Medicine, Tulane University School of Medicine, New Orleans, Louisiana, USA.
  • Turner DR; IT Research Computing Services, Northwestern University, Evanston, Illinois, USA.
  • Lu A; Northwestern Medicine Enterprise Data Warehouse, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.
  • Borsje M; Northwestern Medicine Enterprise Data Warehouse, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.
  • Wood CW; IT Research Computing Services, Northwestern University, Evanston, Illinois, USA.
  • Petito LC; Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.
  • Polubriaginof FCG; Memorial Sloan Kettering Cancer Center, New York, New York, USA.
  • Schneider D; Northwestern Medicine Enterprise Data Warehouse, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.
  • Ahmad F; Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.
  • Allen NB; Division of Cardiology, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.
J Am Med Inform Assoc ; 30(5): 915-922, 2023 04 19.
Article em En | MEDLINE | ID: mdl-36857086
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Registros Eletrônicos de Saúde / Obesidade Tipo de estudo: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: J Am Med Inform Assoc Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Registros Eletrônicos de Saúde / Obesidade Tipo de estudo: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: J Am Med Inform Assoc Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos