A dynamic model for predicting graft function in kidney recipients’ upcoming follow up visits: A clinical application of artificial neural network-Reference-Cited by-同舟云学术

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A dynamic model for predicting graft function in kidney recipients’ upcoming follow up visits: A clinical application of artificial neural network

Published:2018-11 Issue: Volume:119 Page:125-133
ISSN:1386-5056
Container-title:International Journal of Medical Informatics
language:en
Short-container-title:International Journal of Medical Informatics

Author:

Rashidi Khazaee Parviz,Bagherzadeh Jamshid^ORCID,Niazkhani Zahra,Pirnejad Habibollah^ORCID

Publisher

Elsevier BV

Subject

Health Informatics

Reference35 articles.

1. Organ shortage crisis: problems and possible solutions;Abouna;Transpl. Proc.,2008

2. Biomarkers for kidney transplant rejection;Lo;Nat. Rev. Nephrol.,2014

3. A new clinical prediction tool for 5-year kidney transplant outcome;Lenihan;Am. J. Kidney Dis.,2014

4. A predictive model for progression of chronic kidney disease to kidney failure;Tangri;JAMA,2011

5. A dynamic predictive model for progression of CKD;Tangri;Am. J. Kidney Dis.,2017

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