Predicting graft survival among kidney transplant recipients: A Bayesian decision support model

Author:

Topuz Kazim,Zengul Ferhat D.,Dag Ali,Almehmi Ammar,Yildirim Mehmet Bayram

Publisher

Elsevier BV

Subject

Information Systems and Management,Arts and Humanities (miscellaneous),Developmental and Educational Psychology,Information Systems,Management Information Systems

Reference79 articles.

1. Why is organ transplantation clinically important?;Grinyó;Cold Spring Harb. Perspect. Med.,2013

2. Global Observatory on Donation and Transplantation;WHO, World Health Organization,2013

3. Transplant;University, of Wisconsin Health,2017

4. Improved graft survival after renal transplantation in the United States, 1988 to 1996;Hariharan;N. Engl. J. Med.,2000

5. Using Bayesian networks to predict survival of liver transplant patients;Hoot,2005

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