Machine Learning In Prediction Of Vulnerable Or Resilient End-Stage Renal Disease Patients

AuthID
 P-00R-20X
15
Author(s)
Pedroso, JP
·
Madureira, J
·
Do Sameiro Faria, M
·
Miranda, V
·
Document Type
Abstract
Year published
2019
Published
in NEPHROLOGY DIALYSIS TRANSPLANTATION, ISSN: 0931-0509
Volume: 34, Issue: Supplement_1, Pages: 580-580 (1)
Conference
56Th Congress of the European-Renal-Association (Era)-European-Dialysis-And-Transplant-Association (Edta) - Burden, Access and Disparities in Kidney Disease, Date: JUN 13-16, 2019, Location: Budapest, HUNGARY, Sponsors: European Dialysis & Transplant Assoc, European Renal Assoc
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Publication Identifiers
Wos: WOS:000495412902057
Source Identifiers
ISSN: 0931-0509
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