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Derivation and validation of a machine learning risk score using biomarker and electronic patient data to predict progression of diabetic kidney disease.
Chan, Lili; Nadkarni, Girish N; Fleming, Fergus; McCullough, James R; Connolly, Patricia; Mosoyan, Gohar; El Salem, Fadi; Kattan, Michael W; Vassalotti, Joseph A; Murphy, Barbara; Donovan, Michael J; Coca, Steven G; Damrauer, Scott M.
Afiliação
  • Chan L; Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA. lili.chan@mountsinai.org.
  • Nadkarni GN; Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Fleming F; Renalytix AI Plc, Cardiff, UK.
  • McCullough JR; Renalytix AI, Inc., New York, NY, USA.
  • Connolly P; Renalytix AI Plc, Cardiff, UK.
  • Mosoyan G; Renalytix AI, Inc., New York, NY, USA.
  • El Salem F; Renalytix AI Plc, Cardiff, UK.
  • Kattan MW; Renalytix AI, Inc., New York, NY, USA.
  • Vassalotti JA; Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Murphy B; Department of Pathology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Donovan MJ; Department of Quantitative Health Sciences, Lerner Research Institute, Cleveland, OH, USA.
  • Coca SG; Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Damrauer SM; Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Diabetologia ; 64(7): 1504-1515, 2021 07.
Article em En | MEDLINE | ID: mdl-33797560
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Biomarcadores / Nefropatias Diabéticas / Registros Eletrônicos de Saúde / Aprendizado de Máquina Tipo de estudo: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged País/Região como assunto: America do norte 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: Biomarcadores / Nefropatias Diabéticas / Registros Eletrônicos de Saúde / Aprendizado de Máquina Tipo de estudo: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged País/Região como assunto: America do norte Idioma: En Ano de publicação: 2021 Tipo de documento: Article