Your browser doesn't support javascript.
loading
A novel approach to dry weight adjustments for dialysis patients using machine learning.
Kim, Hae Ri; Bae, Hong Jin; Jeon, Jae Wan; Ham, Young Rok; Na, Ki Ryang; Lee, Kang Wook; Hyon, Yun Kyong; Choi, Dae Eun.
Afiliação
  • Kim HR; Division of Nephrology, Department of Internal Medicine, Chungnam National University Sejong Hospital, Sejong, South Korea.
  • Bae HJ; Department of Nephrology, Medical School, Chungnam National University, Daejeon, South Korea.
  • Jeon JW; Division of Nephrology, Department of Internal Medicine, Cheongju St. Mary's Hospital, Cheongju, South Korea.
  • Ham YR; Division of Nephrology, Department of Internal Medicine, Chungnam National University Sejong Hospital, Sejong, South Korea.
  • Na KR; Department of Nephrology, Medical School, Chungnam National University, Daejeon, South Korea.
  • Lee KW; Department of Medical Science, Medical School, Chungnam National University, Daejeon, South Korea.
  • Hyon YK; Department of Nephrology, Medical School, Chungnam National University, Daejeon, South Korea.
  • Choi DE; Department of Medical Science, Medical School, Chungnam National University, Daejeon, South Korea.
PLoS One ; 16(4): e0250467, 2021.
Article em En | MEDLINE | ID: mdl-33891656
Assuntos
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Água Corporal / Diálise Renal / Aprendizado de Máquina / Falência Renal Crônica Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Aged / Female / Humans / Male / Middle aged Idioma: En Revista: PLoS One Assunto da revista: CIENCIA / MEDICINA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Coréia do Sul
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Água Corporal / Diálise Renal / Aprendizado de Máquina / Falência Renal Crônica Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Aged / Female / Humans / Male / Middle aged Idioma: En Revista: PLoS One Assunto da revista: CIENCIA / MEDICINA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Coréia do Sul