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Development and validation of algorithms to classify type 1 and 2 diabetes according to age at diagnosis using electronic health records.
Ke, Calvin; Stukel, Thérèse A; Luk, Andrea; Shah, Baiju R; Jha, Prabhat; Lau, Eric; Ma, Ronald C W; So, Wing-Yee; Kong, Alice P; Chow, Elaine; Chan, Juliana C N.
Afiliação
  • Ke C; Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong. calvin.ke@mail.utoronto.ca.
  • Stukel TA; Department of Medicine, University of Toronto, Toronto, Canada. calvin.ke@mail.utoronto.ca.
  • Luk A; Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Canada. calvin.ke@mail.utoronto.ca.
  • Shah BR; Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Canada.
  • Jha P; ICES, Toronto, Canada.
  • Lau E; Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong.
  • Ma RCW; Asia Diabetes Foundation, Prince of Wales Hospital, Shatin, Hong Kong.
  • So WY; Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong.
  • Kong AP; Li Ka Shing Institute of Health Science, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong.
  • Chow E; Department of Medicine, University of Toronto, Toronto, Canada.
  • Chan JCN; Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Canada.
BMC Med Res Methodol ; 20(1): 35, 2020 02 24.
Article em En | MEDLINE | ID: mdl-32093635
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos / Bases de Dados Factuais / Diabetes Mellitus Tipo 1 / Diabetes Mellitus Tipo 2 / Registros Eletrônicos de Saúde Tipo de estudo: Clinical_trials / Diagnostic_studies / Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adolescent / Adult / Aged / Child / Female / Humans / Male / Middle aged País/Região como assunto: Asia Idioma: En Revista: BMC Med Res Methodol Assunto da revista: MEDICINA Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Hong Kong
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos / Bases de Dados Factuais / Diabetes Mellitus Tipo 1 / Diabetes Mellitus Tipo 2 / Registros Eletrônicos de Saúde Tipo de estudo: Clinical_trials / Diagnostic_studies / Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adolescent / Adult / Aged / Child / Female / Humans / Male / Middle aged País/Região como assunto: Asia Idioma: En Revista: BMC Med Res Methodol Assunto da revista: MEDICINA Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Hong Kong