Continuation of immunosuppression vs. immunosuppression weaning in potential repeat kidney transplant candidates: a care management perspective

MJ Hickey, G Singh, EL Lum - Frontiers in Nephrology, 2023 - frontiersin.org
Management of immunosuppression in patients with a failing or failed kidney transplant
requires a complete assessment of their clinical condition. One of the major considerations …

[HTML][HTML] Does anybody really know what (the kidney median waiting) time is?

D Stewart, T Mupfudze, D Klassen - American Journal of Transplantation, 2023 - Elsevier
The median waiting time (MWT) to deceased donor kidney transplant is of interest to
patients, clinicians, and the media but remains elusive due to both methodological and …

[HTML][HTML] Present and Future Applications of Artificial Intelligence in Kidney Transplantation

E Kotsifa, VK Mavroeidis - Journal of Clinical Medicine, 2024 - mdpi.com
Artificial intelligence (AI) has a wide and increasing range of applications across various
sectors. In medicine, AI has already made an impact in numerous fields, rapidly transforming …

A machine learning prediction model for immediate graft function after deceased donor kidney transplantation

RM Quinino, F Agena, LGM de Andrade… - …, 2023 - journals.lww.com
Background. After kidney transplantation (KTx), the graft can evolve from excellent
immediate graft function (IGF) to total absence of function requiring dialysis. Recipients with …

A novel strategy to classify chronic patients at risk: a hybrid machine learning approach

F Silva-Aravena, HN Delafuente, CA Astudillo - Mathematics, 2022 - mdpi.com
Various care processes have been affected by COVID-19. One of the most dramatic has
been the care of chronic patients under medical supervision. According to the World Health …

[HTML][HTML] Prediction of outpatient waiting time: using machine learning in a tertiary children's hospital

X Li, W Liu, W Kong, W Zhao, H Wang… - Translational …, 2023 - ncbi.nlm.nih.gov
Background Accurately predicting waiting time for patients is crucial for effective hospital
management. The present study examined the prediction of outpatient waiting time in a …

Predicting time to and average quality of future offers for kidney transplant candidates declining a current deceased donor kidney offer: a retrospective cohort study

J Jalbert, JN Weller, PL Boivin… - … Journal of Kidney …, 2023 - journals.sagepub.com
Background: At the time a kidney offer is made by an organ donation organization (ODO),
transplant physicians must inform candidates on the pros and cons of accepting or declining …

The ensembles of machine learning methods for survival predicting after kidney transplantation

Y Tolstyak, R Zhuk, I Yakovlev, N Shakhovska… - Applied Sciences, 2021 - mdpi.com
Machine learning is used to develop predictive models to diagnose different diseases,
particularly kidney transplant survival prediction. The paper used the collected dataset of …

Regional Disparities in Kidney Transplant Allocation in Brazil: A Retrospective Cohort Study

DF Salomão Pontes, G Fernandes Ferreira… - Clinical …, 2024 - Wiley Online Library
Background Brazil has a large public transplant program, but it remains unclear if the kidney
waitlist criteria effectively allocate organs. This study aimed to investigate whether gender …

Predicting pediatric kidney transplant wait times: The unexplored landscape and pre-allocation transplant policies

RM Engen - Pediatric Nephrology, 2024 - Springer
Every year, over 1300 children worldwide present for a kidney transplant evaluation [1]. For
some, this is a day that has been anticipated and dreaded for years, perhaps even before …