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A Tale of Two Eras: Mining Big Data from Electronic Health Records to Determine Limb Salvage Rates with Podiatry.
Schmidt, Brian M; Holmes, Crystal M; Ye, Wen; Pop-Busui, Rodica.
Afiliação
  • Schmidt BM; Michigan Medicine, Department of Internal Medicine, Division of Metabolism, Endocrinology, and Diabetes, Domino's Farms (Lobby C, Suite 1300) 24 Frank Lloyd Wright Drive Ann Arbor, Michigan 48106, United States.
  • Holmes CM; Michigan Medicine, Department of Internal Medicine, Division of Metabolism, Endocrinology, and Diabetes, Domino's Farms (Lobby C, Suite 1300) 24 Frank Lloyd Wright Drive Ann Arbor, Michigan 48106, United States.
  • Ye W; University of Michigan School of Public Health, M2515 SPH II, 1415 Washington Heights Ann Arbor, Michigan 48109, United States.
  • Pop-Busui R; Michigan Medicine, Department of Internal Medicine, Division of Metabolism, Endocrinology, and Diabetes, Domino's Farms (Lobby C, Suite 1300) 24 Frank Lloyd Wright Drive Ann Arbor, Michigan 48106, United States.
Curr Diabetes Rev ; 15(6): 497-502, 2019.
Article em En | MEDLINE | ID: mdl-30332970
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Podiatria / Salvamento de Membro / Registros Eletrônicos de Saúde / Mineração de Dados / Big Data Tipo de estudo: Observational_studies / Prevalence_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2019 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Podiatria / Salvamento de Membro / Registros Eletrônicos de Saúde / Mineração de Dados / Big Data Tipo de estudo: Observational_studies / Prevalence_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2019 Tipo de documento: Article