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Machine learning algorithm to predict the in-hospital mortality in critically ill patients with chronic kidney disease.
Li, Xunliang; Zhu, Yuyu; Zhao, Wenman; Shi, Rui; Wang, Zhijuan; Pan, Haifeng; Wang, Deguang.
Afiliación
  • Li X; Department of Nephrology, The Second Affiliated Hospital of Anhui Medical University, Hefei, People's Republic of China.
  • Zhu Y; Institute of Kidney Disease, Inflammation & Immunity Mediated Diseases, The Second Affiliated Hospital of Anhui Medical University, Hefei, People's Republic of China.
  • Zhao W; Department of Nephrology, The Second Affiliated Hospital of Anhui Medical University, Hefei, People's Republic of China.
  • Shi R; Institute of Kidney Disease, Inflammation & Immunity Mediated Diseases, The Second Affiliated Hospital of Anhui Medical University, Hefei, People's Republic of China.
  • Wang Z; Department of Nephrology, The Second Affiliated Hospital of Anhui Medical University, Hefei, People's Republic of China.
  • Pan H; Institute of Kidney Disease, Inflammation & Immunity Mediated Diseases, The Second Affiliated Hospital of Anhui Medical University, Hefei, People's Republic of China.
  • Wang D; Department of Nephrology, The Second Affiliated Hospital of Anhui Medical University, Hefei, People's Republic of China.
Ren Fail ; 45(1): 2212790, 2023 Dec.
Article en En | MEDLINE | ID: mdl-37203863
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Enfermedad Crítica / Insuficiencia Renal Crónica Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Aged / Female / Humans / Male Idioma: En Revista: Ren Fail Asunto de la revista: NEFROLOGIA Año: 2023 Tipo del documento: Article Pais de publicación: Reino Unido
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Enfermedad Crítica / Insuficiencia Renal Crónica Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Aged / Female / Humans / Male Idioma: En Revista: Ren Fail Asunto de la revista: NEFROLOGIA Año: 2023 Tipo del documento: Article Pais de publicación: Reino Unido