MACHINE LEARNING MODELS USING BIOMARKERS TO PREDICT MORTALITY IN HEMODIALYSIS.
Back
Abstract Number
WCN23-0997
Categories
Kidney Failure (Former ESKD), incl. Dialysis, Transplantation, Conservative Care
Topic - Chronic Kidney Disease, Hypertension, Diabetes and CVD
Topic - AKI, Electrolytes, Acid-base Disorders, Tropical Diseases, RPGN and Pregnancy
Topic - Kidney Failure (Former ESKD), incl. Dialysis, Transplantation, Conservative Care
Epidemiology, Outcomes and Health Services Research in Dialysis
Topic - Special Covid-19
Topic - Education
Abstract Title
MACHINE LEARNING MODELS USING BIOMARKERS TO PREDICT MORTALITY IN HEMODIALYSIS.
Co-authors
Reinheimer, I.C.(1);Beer, M.A.(1);Lied Da Cunha, M.(2);Telöken, I.B.(1);Braga Da Silveira, J.(1);Viviane Baron, M.(1);Halperin, F.K.(1);Wolf, R.C.(1);Ribeiro, R.(1);Paz Munhoz, T.(3);Figueiredo, A.E.(3);Lesqueves Barra, A.B.(4);Strogoff-De-Matos, J.P.(4);Bordini, R.H.(5);Poli De Figueiredo, C.E.(6)*;
ie:
Azwin Z.1, Siti Y.1, John D.2
Institution
(1)Pucrs, Nephrology, Porto Alegre, Brazil;(2)Pucrs, Escola Politécnica, Porto Alegre, Brazil;(3)Pucrs, Escola De Ciencias Da Saude E Da Vida, Porto Alegre, Brazil;(4)Uff, Nephrology, Rio De Janeiro, Brazil;(5)Pucrs, Escola Politecnica, Porto Alegre, Brazil;(6)Pontificia Universidade Catolica Do Rio Grande Do Sul- Pucrs, Escola De Medicina-Nephrology, Porto Alegre, Brazil;
E-Poster
https://storage.unitedwebnetwork.com/files/1041/935fda15d4e82578443eacef6fac6456.pdf
Audio File
if any