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[Prediction of renal transplantation outcome using artificial neural networks and investigating important risk factors].
Abolfazl Zanghaei, Abolfazl Zanghaei; Zohreh Rostami, Zohreh Rostami; Ali Ameri, Ali Ameri; Mahmood Salesi, Mahmood Salesi; Ahmad Akhlaghi, Ahmad Akhlaghi; Ahmad Shalbaf, Ahmad Shalbaf; Hassan Doosti, Hassan Doosti.
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  • Abolfazl Zanghaei AZ; Department of Biomedical Engineering and Biophysics, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
  • Zohreh Rostami ZR; Research Center of Nephrology, School of Medicine, Baqiyatallah University of Medical Sciences, Tehran, Iran.
  • Ali Ameri AA; Chemical Injuries Research Center, Systems Biology and Poisonings Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran.
  • Mahmood Salesi MS; School of Mathematical and Physical Sciences, Macquarie University, Sydney, Australia.
  • Ahmad Akhlaghi AA; Department of Biomedical Engineering and Biophysics, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
  • Ahmad Shalbaf AS; Research Center of Nephrology, School of Medicine, Baqiyatallah University of Medical Sciences, Tehran, Iran.
  • Hassan Doosti HD; Chemical Injuries Research Center, Systems Biology and Poisonings Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran.
Urologiia ; (4): 82-89, 2023 Sep.
Article en Ru | MEDLINE | ID: mdl-37850286
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Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Trasplante de Riñón / Fallo Renal Crónico Límite: Humans Idioma: Ru Revista: Urologiia Asunto de la revista: UROLOGIA Año: 2023 Tipo del documento: Article País de afiliación: Irán Pais de publicación: Rusia
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PubMed Links

Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Trasplante de Riñón / Fallo Renal Crónico Límite: Humans Idioma: Ru Revista: Urologiia Asunto de la revista: UROLOGIA Año: 2023 Tipo del documento: Article País de afiliación: Irán Pais de publicación: Rusia