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Elderly KTbot

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Version 3 2020-03-28, 03:36
Version 2 2020-03-28, 03:27
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posted on 2020-03-28, 03:36 authored by UBIRACE FERNANDO ELIHIMAS JUNIORUBIRACE FERNANDO ELIHIMAS JUNIOR, Emilly Pereira Alves, Marcio José de Carvalho Lima, Frederico Castelo Branco Cavalcanti, Paulo Adriano SchwingelPaulo Adriano Schwingel
Learning machine application using software in Microsoft Windows Form application for C++.NET Framework in order to predict the probability of the allograft receptor developing renal function estimated by CKD-EPI < 60 mL/min/1.73m2 in the one-year post-KT.

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    regression model pmachine learning-basedKidney Transplant RecipientsElderlyGlomerular filtration rate (GFR)End-stage kidney disease (ESKD)MedicineSimulation and ModellingApplied Statistics

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    CC BY 4.0

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