4 papers
Paired Recipient-based Evaluation of Survival Prediction for Deceased Donor Kidney Transplants
Misaki Matsuura, Mohammadreza Nemati, Dulat Bekbolsynov +2
There has been significant interest in using machine learning algorithms to predict kidney transplant outcomes, such as the number of years until a graft inevitably fails. These pr…
LIT-LVM: Structured Regularization for Interaction Terms in Linear Predictors using Latent Variable Models
Mohammadreza Nemati, Zhipeng Huang, Kevin S. Xu
Some of the simplest, yet most frequently used predictors in statistics and machine learning use weighted linear combinations of features. Such linear predictors can model non-line…
A Latent Space Model for HLA Compatibility Networks in Kidney Transplantation
Zhipeng Huang, Kevin S. Xu
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; how…
Predicting Kidney Transplant Survival using Multiple Feature Representations for HLAs
Mohammadreza Nemati, Haonan Zhang, Michael Sloma +4
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…