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An external validation of models to predict the onset of chronic kidney disease using population-based electronic health records from Salford, UK.
Fraccaro, Paolo; van der Veer, Sabine; Brown, Benjamin; Prosperi, Mattia; O'Donoghue, Donal; Collins, Gary S; Buchan, Iain; Peek, Niels.
Afiliación
  • Fraccaro P; NIHR Greater Manchester Primary Care Patient Safety Translational Research Centre, Institute of Population Health, The University of Manchester, Manchester, UK.
  • van der Veer S; Health eResearch Centre, Farr Institute for Health Informatics Research, Manchester, UK.
  • Brown B; Centre for Health Informatics, Institute of Population Health, The University of Manchester, Vaughan House, Portsmouth St, Manchester, M13 9GB, UK.
  • Prosperi M; Health eResearch Centre, Farr Institute for Health Informatics Research, Manchester, UK.
  • O'Donoghue D; Centre for Health Informatics, Institute of Population Health, The University of Manchester, Vaughan House, Portsmouth St, Manchester, M13 9GB, UK.
  • Collins GS; NIHR Greater Manchester Primary Care Patient Safety Translational Research Centre, Institute of Population Health, The University of Manchester, Manchester, UK.
  • Buchan I; Health eResearch Centre, Farr Institute for Health Informatics Research, Manchester, UK.
  • Peek N; Centre for Health Informatics, Institute of Population Health, The University of Manchester, Vaughan House, Portsmouth St, Manchester, M13 9GB, UK.
BMC Med ; 14: 104, 2016 Jul 12.
Article en En | MEDLINE | ID: mdl-27401013
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Medición de Riesgo / Diagnóstico Precoz / Insuficiencia Renal Crónica / Registros Electrónicos de Salud / Modelos Teóricos Tipo de estudio: Diagnostic_studies / Etiology_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Límite: Adult / Humans / Male / Middle aged País/Región como asunto: Europa Idioma: En Revista: BMC Med Asunto de la revista: MEDICINA Año: 2016 Tipo del documento: Article País de afiliación: Reino Unido
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Medición de Riesgo / Diagnóstico Precoz / Insuficiencia Renal Crónica / Registros Electrónicos de Salud / Modelos Teóricos Tipo de estudio: Diagnostic_studies / Etiology_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Límite: Adult / Humans / Male / Middle aged País/Región como asunto: Europa Idioma: En Revista: BMC Med Asunto de la revista: MEDICINA Año: 2016 Tipo del documento: Article País de afiliación: Reino Unido