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Related papers: Predicting Long-Term Allograft Survival in Liver T…

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Liver transplant is an essential therapy performed for severe liver diseases. The fact of scarce liver resources makes the organ assigning crucial. Model for End-stage Liver Disease (MELD) score is a widely adopted criterion when making…

Artificial Intelligence · Computer Science 2023-02-21 Sirui Ding , Ruixiang Tang , Daochen Zha , Na Zou , Kai Zhang , Xiaoqian Jiang , Xia Hu

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…

Machine Learning · Computer Science 2024-03-04 Can Li , Xiaoqian Jiang , Kai Zhang

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…

Machine Learning · Computer Science 2022-07-07 Mohammadreza Nemati , Haonan Zhang , Michael Sloma , Dulat Bekbolsynov , Hong Wang , Stanislaw Stepkowski , Kevin S. Xu

25% of people who received a liver transplant will go on to develop diabetes within the next 5 years. These thousands of individuals are at 2-fold higher risk of cardiovascular events, graft loss, infections, as well as lower long-term…

Machine Learning · Computer Science 2019-06-06 Angeline Yasodhara , Mamatha Bhat , Anna Goldenberg

Kidney transplantation is the preferred treatment for people suffering from end-stage renal disease. Successful kidney transplants still fail over time, known as graft failure; however, the time to graft failure, or graft survival time, can…

Machine Learning · Computer Science 2022-11-07 Zhipeng Huang , Kevin S. Xu

Liver transplant can be a life-saving procedure for patients with end-stage liver disease. With the introduction of modern immunosuppressive therapies, short-term survival has significantly improved. However, long-term survival has not…

Quantitative Methods · Quantitative Biology 2024-11-28 Julia Bruner , Kyle Adams , Skylar Grey , Mahya Aghaee , Sergio Duarte , Ali Zarrinpar , Helen Moore

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…

Other Quantitative Biology · Quantitative Biology 2023-06-02 Raja Al-Bahou , Julia Bruner , Helen Moore , Ali Zarrinpar

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…

Colorectal cancer frequently metastasizes to the liver, significantly reducing long-term survival. While surgical resection is the only potentially curative treatment for colorectal liver metastasis (CRLM), patient outcomes vary widely…

Computer Vision and Pattern Recognition · Computer Science 2025-09-12 Muhammad Alberb , Helen Cheung , Anne Martel

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…

Applications · Statistics 2017-03-13 Lanfeng Pan , Yehua Li , Kevin He , Yanming Li , Yi Li

Graft-versus-host disease (GVHD) is a rare but often fatal complication in liver transplantation, with a very high mortality rate. By harnessing multi-modal deep learning methods to integrate heterogeneous and imbalanced electronic health…

Machine Learning · Computer Science 2025-11-18 Yushan Jiang , Shuteng Niu , Dongjin Song , Yichen Wang , Jingna Feng , Xinyue Hu , Liu Yang , Cui Tao

End-Stage Liver Disease (ESLD), a complex condition, has high rates of co-occurring comorbidities affecting multiple organ systems. There is no clear evidence-based practice (EBP) guidelines addressing the progression of comorbidities in…

Quantitative Methods · Quantitative Biology 2024-10-17 Julia Tacherel , Kiruthika Balakrishnan , Gyorgy Simon , Lisiane Pruinelli

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…

Machine Learning · Computer Science 2020-12-08 Eric S. Pahl , W. Nick Street , Hans J. Johnson , Alan I. Reed

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…

Applications · Statistics 2020-04-20 Jingjing Zou , David J. Lederer , Daniel Rabinowitz

A kidney transplant can improve the life expectancy and quality of life of patients with end-stage renal failure. Even more patients could be helped with a transplant if the rate of kidneys that are discarded and not transplanted could be…

The Scientific Registry of Transplant Recipients (SRTR) system has become a rich resource for understanding the complex mechanisms of graft failure after kidney transplant, a crucial step for allocating organs effectively and implementing…

Methodology · Statistics 2022-11-17 Lu Xia , Bin Nan , Yi Li

Amyotrophic lateral sclerosis (ALS) is a severe disease with a typical survival of 3-5 years after symptom onset. Current treatments offer only limited life extension, and the variability in patient responses highlights the need for…

Machine Learning · Computer Science 2025-11-05 Guillaume Tejedor , Veronika Peralta , Nicolas Labroche , Patrick Marcel , Hélène Blasco , Hugo Alarcan

Survival prediction with small sets of features is a highly relevant topic for decision-making in clinical practice. I describe a method for predicting survival of amyotrophic lateral sclerosis (ALS) patients that was developed as a…

Applications · Statistics 2016-12-05 Christoph Kurz

While colorectal liver metastasis (CRLM) is potentially curable via hepatectomy, patient outcomes remain highly heterogeneous. Postoperative survival prediction is necessary to avoid non-beneficial surgeries and guide personalized therapy.…

Computer Vision and Pattern Recognition · Computer Science 2026-03-12 Muhammad Alberb , Jianan Chen , Hossam El-rewaidy , Paul Karanicolas , Arun Seth , Yutaka Amemiya , Anne Martel , Helen Cheung

Objective: Develop and evaluate machine learning (ML) models for predicting incident liver cirrhosis one, two, and three years prior to diagnosis using routinely collected electronic health record (EHR) data, and to benchmark their…

Machine Learning · Computer Science 2026-01-05 Zhuqi Miao , Sujan Ravi , Abdulaziz Ahmed
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