Logistic Regression Model in a Machine Learning Application to Predict Elderly Kidney Transplant Recipients with Worse Renal Function One Year after Kidney Transplant: Elderly KTbot.
Ubiracé Fernando Elihimas JúniorJamila Pinho CoutoWallace PereiraMichel Pompeu Barros Oliveira SáEduardo Eriko Tenório de FrançaFilipe Carrilho de AguiarDiogo Buarque Cordeiro CabralSaulo Barbosa Vasconcelos de AlencarSaulo José da Costa FeitosaThais Oliveira Claizoni Dos SantosHelen Conceição Dos Santos ElihimasEmilly Pereira AlvesMarcio José de Carvalho LimaFrederico Castelo Branco CavalcantiFernando Martins CarvalhoPublished in: Journal of aging research (2020)
Renal function in elderly KT recipients was lower than in younger KT recipients. However, patients aged ≥60 years maintained enough renal function to remain off dialysis. Moreover, a learning machine application built a robot (Elderly KTbot) to predict in the elderly populations the likelihood of worse renal function one year after KT.