Kai Zhang

According to our database, Kai Zhang authored at least 12 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A transformer-based deep learning approach for fairly predicting post-liver transplant risk factors.

Can Li, Xiaoqian Jiang, Kai Zhang

J. Biomed. Informatics, January, 2024

2023

Multi-task learning with dynamic re-weighting to achieve fairness in healthcare predictive modeling.

Can Li, Sirui Ding, Na Zou, Xia Hu, Xiaoqian Jiang, Kai Zhang

J. Biomed. Informatics, 2023

Sensitive Data Detection with High-Throughput Machine Learning Models in Electrical Health Records.

Kai Zhang, Xiaoqian Jiang

CoRR, 2023

Predicting multiple sclerosis disease severity with multimodal deep neural networks.

Kai Zhang, John A. Lincoln, Xiaoqian Jiang, Elmer V. Bernstam, Shayan Shams

CoRR, 2023

Multi-Task Learning for Post-transplant Cause of Death Analysis: A Case Study on Liver Transplant.

Sirui Ding, Qiaoyu Tan, Chia-Yuan Chang, Na Zou, Kai Zhang, Nathan R. Hoot, Xiaoqian Jiang, Xia Hu

CoRR, 2023

Towards Fair Patient-Trial Matching via Patient-Criterion Level Fairness Constraint.

Chia-Yuan Chang, Jiayi Yuan, Sirui Ding, Qiaoyu Tan, Kai Zhang, Xiaoqian Jiang, Xia Hu, Na Zou

CoRR, 2023

2022

A multi-task Gaussian process self-attention neural network for real-time prediction of the need for mechanical ventilators in COVID-19 patients.

Kai Zhang, Siddharth Karanth, Bela Patel, Robert Murphy, Xiaoqian Jiang

J. Biomed. Informatics, 2022

Fairly Predicting Graft Failure in Liver Transplant for Organ Assigning.

Sirui Ding, Ruixiang Tang, Daochen Zha, Na Zou, Kai Zhang, Xiaoqian Jiang, Xia Hu

Proceedings of the AMIA 2022, 2022

2021

Scalable Causal Structure Learning: New Opportunities in Biomedicine.

Pulakesh Upadhyaya, Kai Zhang, Can Li, Xiaoqian Jiang, Yejin Kim

CoRR, 2021

A Fast PC Algorithm with Reversed-order Pruning and A Parallelization Strategy.

Kai Zhang, Chao Tian, Kun Zhang, Todd Johnson, Xiaoqian Jiang

CoRR, 2021

Real-time Prediction for Mechanical Ventilation in COVID-19 Patients using A Multi-task Gaussian Process Multi-objective Self-attention Network.

Kai Zhang, Siddharth Karanth, Bela Patel, Robert Murphy, Xiaoqian Jiang

CoRR, 2021

DBNet: a novel deep learning framework for mechanical ventilation prediction using electronic health records.

Kai Zhang, Xiaoqian Jiang, Mahboubeh Madadi, Luyao Chen, Sean I. Savitz, Shayan Shams

Proceedings of the BCB '21: 12th ACM International Conference on Bioinformatics, 2021