DBNet: a novel deep learning framework for mechanical ventilation prediction using electronic health records. - Kai Zhang 041; Xiaoqian Jiang; Mahboubeh Madadi; Luyao Chen; Sean I. Savitz; Shayan Shams (BCB, 2021)

Real-time Prediction for Mechanical Ventilation in COVID-19 Patients using A Multi-task Gaussian Process Multi-objective Self-attention Network. - Kai Zhang 041; Siddharth Karanth; Bela Patel; Robert Murphy; Xiaoqian Jiang (CoRR, 2021)

A Fast PC Algorithm with Reversed-order Pruning and A Parallelization Strategy. - Kai Zhang 041; Chao Tian; Kun Zhang 001; Todd Johnson; Xiaoqian Jiang (CoRR, 2021)

Scalable Causal Structure Learning: New Opportunities in Biomedicine. - Pulakesh Upadhyaya; Kai Zhang 041; Can Li; Xiaoqian Jiang; Yejin Kim (CoRR, 2021)

Fairly Predicting Graft Failure in Liver Transplant for Organ Assigning. - Sirui Ding; Ruixiang Tang; Daochen Zha; Na Zou 001; Kai Zhang 041; Xiaoqian Jiang; Xia Hu 001 (AMIA, 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 041; Siddharth Karanth; Bela Patel; Robert Murphy; Xiaoqian Jiang (J. Biomed. Informatics, 2022)

Towards Fair Patient-Trial Matching via Patient-Criterion Level Fairness Constraint. - Chia-Yuan Chang 002; Jiayi Yuan 001; Sirui Ding; Qiaoyu Tan; Kai Zhang 041; Xiaoqian Jiang; Xia Hu 001; Na Zou 001 (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 002; Na Zou 001; Kai Zhang 041; Nathan R. Hoot; Xiaoqian Jiang; Xia Hu 001 (CoRR, 2023)

Predicting multiple sclerosis disease severity with multimodal deep neural networks. - Kai Zhang 041; John A. Lincoln; Xiaoqian Jiang; Elmer V. Bernstam; Shayan Shams (CoRR, 2023)

Sensitive Data Detection with High-Throughput Machine Learning Models in Electrical Health Records. - Kai Zhang 041; Xiaoqian Jiang (CoRR, 2023)

Multi-task learning with dynamic re-weighting to achieve fairness in healthcare predictive modeling. - Can Li; Sirui Ding; Na Zou 001; Xia Hu 001; Xiaoqian Jiang; Kai Zhang 041 (J. Biomed. Informatics, 2023)

A transformer-based deep learning approach for fairly predicting post-liver transplant risk factors. - Can Li; Xiaoqian Jiang; Kai Zhang 041 (J. Biomed. Informatics, 2024)