A Transformer-Based Deep Learning Approach for Fairly Predicting Post-Liver Transplant Risk Factors [PDF]
J Biomed Inform. 2024 Jan;149:104545, 2023 Liver transplantation is a life-saving procedure for patients with end-stage liver disease. There are two main challenges in liver transplant: finding the best matching patient for a donor and ensuring transplant equity among different subpopulations. The current MELD scoring system evaluates a patient's mortality risk if not receiving an organ within ...
arxiv +1 more source
Decision Support System for Renal Transplantation [PDF]
In: Proceedings of the 2018 IISE Annual Conference: 2018; Orlando:
IISE; 2018: 431-436, 2018 The burgeoning need for kidney transplantation mandates immediate attention. Mismatch of deceased donor-recipient kidney leads to post-transplant death. To ensure ideal kidney donor-recipient match and minimize post-transplant deaths, the paper develops a prediction model that identifies factors that determine the probability of success of renal ...
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A predictive model for kidney transplant graft survival using machine learning [PDF]
4th International Conference on Computer Science and Information
Technology (COMIT 2020), November 28-29, 2020, Dubai, UAE. ISBN:
978-1-925953-30-5. Volume 10, Number 16, 2020 Kidney transplantation is the best treatment for end-stage renal failure patients. The predominant method used for kidney quality assessment is the Cox regression-based, kidney donor risk index. A machine learning method may provide improved prediction of transplant outcomes and help decision-making. A popular tree-based machine learning method, random
arxiv +1 more source
Evaluation of transplant benefits with the U.S. Scientific Registry of Transplant Recipients by semiparametric regression of mean residual life [PDF]
arXiv, 2023 Kidney transplantation is the most effective renal replacement therapy for end stage renal disease patients. With the severe shortage of kidney supplies and for the clinical effectiveness of transplantation, patient's life expectancy post transplantation is used to prioritize patients for transplantation; however, severe comorbidity conditions and old ...
arxiv
Predicting Kidney Transplant Survival using Multiple Feature Representations for HLAs [PDF]
Proceedings of the 19th International Conference on Artificial
Intelligence in Medicine (2021) 51-60, 2021 Kidney transplantation can significantly enhance living standards for people suffering from end-stage renal disease. A significant factor that affects graft survival time (the time until the transplant fails and the patient requires another transplant) for kidney transplantation is the compatibility of the Human Leukocyte Antigens (HLAs) between the ...
arxiv
MEDIMP: 3D Medical Images with clinical Prompts from limited tabular data for renal transplantation [PDF]
arXiv, 2023 Renal transplantation emerges as the most effective solution for end-stage renal disease. Occurring from complex causes, a substantial risk of transplant chronic dysfunction persists and may lead to graft loss. Medical imaging plays a substantial role in renal transplant monitoring in clinical practice. However, graft supervision is multi-disciplinary,
arxiv
Predicting Dosage of Immunosuppressant Drugs After Kidney Transplantation Using Machine Learning [PDF]
arXiv, 2023 While kidney transplants are seen as the best treatment option for patients with end-stage renal disease and kidney failure, the organ's health depends on the dosage of immunosuppressant drugs post-transplantation. Due to the dosage variance based on each patient's unique physiology, nephrologists face numerous difficulties when determining the precise
arxiv
MicroRNAs Implicated in Dysregulation of Gene Expression Following Human Lung Transplantation [PDF]
Transl Respir Med. 2013; 1: 12, 2013 Lung transplantation remains the only viable treatment option for the majority of patients with advanced lung diseases. However, 5-year post-transplant survival rates remain low primarily secondary to chronic rejection. Novel insights from global gene expression profiles may provide molecular phenotypes and therapeutic targets to improve outcomes after
arxiv +1 more source
Enhancing kidney transplantation through multi-agent kidney exchange programs: A comprehensive review and optimization models [PDF]
International Journal of Industrial Engineering Computations,
16(2). Growing Science (2024)This paper presents a comprehensive review of the last two decades of research on Kidney Exchange Programs (KEPs), systematically categorizing and classifying key contributions to provide readers with a structured understanding of advancements in the field.
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Regime and Treatment Effects in Duration Models: Decomposing Expectation and Transplant Effects on the Kidney Waitlist [PDF]
arXiv, 2022 This paper proposes a causal decomposition framework for settings in which an initial regime randomization influences the timing of a treatment duration. The initial randomization and treatment affect in turn a duration outcome of interest. Our empirical application considers the survival of individuals on the kidney transplant waitlist.
arxiv