Results 11 to 20 of about 489 (30)

An Initial Step Towards Organ Transplantation Based on GitHub Repository [PDF]

, 2018
Organ transplantation, which is the utilization of codes directly related to some specific functionalities to complete ones own program, provides more convenience for developers than traditional component reuse. However, recent techniques are challenged with the lack of organs for transplantation.
arxiv   +1 more source

Quantitative Methods for Optimizing Patient Outcomes in Liver Transplantation [PDF]

arXiv, 2023
Liver transplantation continues to be the gold standard for treating patients with end-stage liver diseases. However, despite the huge success of liver transplantation in improving patient outcomes, long term graft survival continues to be a major problem.
arxiv  

Predicting tacrolimus exposure in kidney transplanted patients using machine learning [PDF]

arXiv, 2022
Tacrolimus is one of the cornerstone immunosuppressive drugs in most transplantation centers worldwide following solid organ transplantation. Therapeutic drug monitoring of tacrolimus is necessary in order to avoid rejection of the transplanted organ or severe side effects.
arxiv  

Learning Matching Representations for Individualized Organ Transplantation Allocation [PDF]

arXiv, 2021
Organ transplantation is often the last resort for treating end-stage illness, but the probability of a successful transplantation depends greatly on compatibility between donors and recipients. Current medical practice relies on coarse rules for donor-recipient matching, but is short of domain knowledge regarding the complex factors underlying organ ...
arxiv  

Efficiency in Lung Transplant Allocation Strategies [PDF]

arXiv, 2018
Currently in the United States, lung transplantations are allocated to candidates according to the candidates' Lung Allocation Score (LAS). The LAS is an ad-hoc ranking system for patients' priorities of transplantation. The goal of this study is to develop a framework for improving patients' life expectancy over the LAS based on a comprehensive ...
arxiv  

A weighted transplantation theorem for Jacobi coefficients [PDF]

arXiv, 2018
We present a transplantation theorem for Jacobi coefficients in weighted spaces. In fact, by using a discrete vector-valued local Calder\'{o}n-Zygmund theory, which has recently been furnished, we prove the boundedness of transplantation operators from $\ell^p(\mathbb{N},w)$ into itself, where $w$ is a weight in the discrete Muckenhoupt class $A_{p ...
arxiv  

Line graphs and the transplantation method [PDF]

arXiv, 2015
We study isospectrality for mixed Dirichlet-Neumann boundary conditions, and extend the previously derived graph-theoretic formulation of the transplantation method. Led by the theory of Brownian motion, we introduce vertex-colored and edge-colored line graphs that give rise to block diagonal transplantation matrices.
arxiv  

Changing gears: Isospectrality via eigenderivative transplantation [PDF]

arXiv, 2015
We introduce a new method for constructing isospectral quantum graphs that is based on transplanting derivatives of eigenfunctions. We also present simple digraphs with the same reversing zeta function, which generalizes the Bartholdi zeta function to digraphs.
arxiv  

Survival tree and meld to predict long term survival in liver transplantation waiting list [PDF]

arXiv, 2008
Background: Many authors have described MELD as a predictor of short-term mortality in the liver transplantation waiting list. However MELD score accuracy to predict long term mortality has not been statistically evaluated. Objective: The aim of this study is to analyze the MELD score as well as other variables as a predictor of long-term mortality ...
arxiv  

Latent Gaussian Mixture Models for Nationwide Kidney Transplant Center Evaluation [PDF]

arXiv, 2017
Five year post-transplant survival rate is an important indicator on quality of care delivered by kidney transplant centers in the United States. To provide a fair assessment of each transplant center, an effect that represents the center-specific care quality, along with patient level risk factors, is often included in the risk adjustment model.
arxiv