Your browser doesn't support javascript.
loading
Real-time prediction of intradialytic hypotension using machine learning and cloud computing infrastructure.
Zhang, Hanjie; Wang, Lin-Chun; Chaudhuri, Sheetal; Pickering, Aaron; Usvyat, Len; Larkin, John; Waguespack, Pete; Kuang, Zuwen; Kooman, Jeroen P; Maddux, Franklin W; Kotanko, Peter.
  • Zhang H; Renal Research Institute, New York, NY, USA.
  • Wang LC; Renal Research Institute, New York, NY, USA.
  • Chaudhuri S; Fresenius Medical Care, Global Medical Office, Waltham, MA, USA.
  • Pickering A; Maastricht University Medical Center, Maastricht, The Netherlands.
  • Usvyat L; Fresenius Medical Care, Data Solutions, Berlin, Germany.
  • Larkin J; Fresenius Medical Care, Global Medical Office, Waltham, MA, USA.
  • Waguespack P; Fresenius Medical Care, Global Medical Office, Waltham, MA, USA.
  • Kuang Z; Fresenius Medical Care, Digital Technology & Innovation, Waltham, MA, USA.
  • Kooman JP; Fresenius Medical Care, Digital Technology & Innovation, Waltham, MA, USA.
  • Maddux FW; Maastricht University Medical Center, Maastricht, The Netherlands.
  • Kotanko P; Fresenius Medical Care, Global Medical Office, Waltham, MA, USA.
Nephrol Dial Transplant ; 38(7): 1761-1769, 2023 Jun 30.
Article en En | MEDLINE | ID: mdl-37055366
Asunto(s)
Palabras clave
Texto completo
Imprimir
XML
PubMed Links
Search on Google

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Hipotensión / Fallo Renal Crónico Tipo de estudio: Diagnostic_studies / Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Año: 2023 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
Search on Google

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Hipotensión / Fallo Renal Crónico Tipo de estudio: Diagnostic_studies / Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Año: 2023 Tipo del documento: Article