3 papers
cs.LG2026
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…
cs.LG2025
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…
cs.LG2021
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…