Kidney transplantation outcome prediction is very significant and doesn't require emphasis.
This will grant the selection of the best available kidney donor and the best …

Big data has become part of the life for many people. The data about people's life are being
continously collected, analysized and applied as our society progresses into the big data …

Background. An artificial neural networks (ANNs) model was developed to predict 5-year
graft survival of living-donor kidney transplants. Predictions from the validated ANNs were …

Purpose: We developed nomograms that predict transplant renal function at 1 year
(Modification of Diet in Renal Disease equation [estimated glomerular filtration rate]) and 5 …

Although separate prediction models for donors and recipients were previously published,
we identified a need to predict outcomes of donor/recipient simultaneously, as they are …

Predicting the outcome of a graft transplant with high level of accuracy is a challenging task
In medical fields and Data Mining has a great role to answer the challenge. The goal of this …

TORREGROSA, José V. et al. Tratamiento eficaz de la arteriolopatía urémica calcificante
con bifosfonatos. Nefrología (Madr.)[online]. 2012, vol. 32, n. 3, pp. 329-334. ISSN 0211 …

Background Lung transplantation is the gold standard for a carefully selected patient
population with end-stage lung disease. This study sought to create a risk stratification …

A variety of receptor and donor characteristics influence long‐and short‐term kidney graft
survival. It is critical to predict the effectiveness of kidney transplantation to optimise organ …

The field of prognostics has grown rapidly in the last decade and clinicians have been
provided with numerous tools to assist with evidence-based medical decision-making. Most …