Jiayi Tong

According to our database, Jiayi Tong authored at least 12 papers between 2018 and 2022.

Collaborative distances:

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

2022

Distributed learning for heterogeneous clinical data with application to integrating COVID-19 data across 230 sites.

Jiayi Tong, Chongliang Luo, Md. Nazmul Islam, Natalie E. Sheils, John Buresh, Mackenzie J. Edmondson, Peter A. Merkel, Ebbing Lautenbach, Rui Duan, Yong Chen

npj Digit. Medicine, 2022

Federated learning algorithms for generalized mixed-effects model (GLMM) on horizontally partitioned data from distributed sources.

Wentao Li, Jiayi Tong, Md. Monowar Anjum, Noman Mohammed, Yong Chen, Xiaoqian Jiang

BMC Medical Informatics Decis. Mak., 2022

2021

A cost-effective chart review sampling design to account for phenotyping error in electronic health records (EHR) data.

Ziyan Yin, Jiayi Tong, Yong Chen, Rebecca A. Hubbard, Cheng Yong Tang

J. Am. Medical Informatics Assoc., 2021

2020

An augmented estimation procedure for EHR-based association studies accounting for differential misclassification.

Jiayi Tong, Jing Huang, Jessica Chubak, Xuan Wang, Jason H. Moore, Rebecca A. Hubbard, Yong Chen

J. Am. Medical Informatics Assoc., 2020

Learning from local to global: An efficient distributed algorithm for modeling time-to-event data.

Rui Duan, Chongliang Luo, Martijn J. Schuemie, Jiayi Tong, C. Jason Liang, Howard H. Chang, Mary Regina Boland, Jiang Bian, Hua Xu, John H. Holmes, Christopher B. Forrest, Sally C. Morton, Jesse A. Berlin, Jason H. Moore, Kevin B. Mahoney, Yong Chen

J. Am. Medical Informatics Assoc., 2020

Robust-ODAL: Learning from Heterogeneous Health Systems Without Sharing Patient-LevelData.

Jiayi Tong, Rui Duan, Ruowang Li, Martijn J. Scheuemie, Jason H. Moore, Yong Chen

Proceedings of the Pacific Symposium on Biocomputing 2020, 2020

Evaluation of Phenotyping Errors on Polygenic Risk Score Predictions.

Ruowang Li, Jiayi Tong, Rui Duan, Yong Chen, Jason H. Moore

Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020), 2020

Identifying Clinical Risk Factors for Opioid Use Disorder using a Distributed Algorithm to Combine Real-World Data from a Large Clinical Data Research Network.

Jiayi Tong, Zhaoyi Chen, Rui Duan, Wei-Hsuan Lo-Ciganic, Tianchen Lyu, Cui Tao, Peter A. Merkel, Henry R. Kranzler, Jiang Bian, Yong Chen

Proceedings of the AMIA 2020, 2020

Leverage Real-World Longitudinal Data in Large Clinical Research Networks for Alzheimer's Disease and Related Dementia (ADRD).

Rui Duan, Zhaoyi Chen, Jiayi Tong, Chongliang Luo, Tianchen Lyu, Cui Tao, Demetrius Maraganore, Jiang Bian, Yong Chen

Proceedings of the AMIA 2020, 2020

2019

Comparing drug safety of hepatitis C therapies using post-market data.

Jing Huang, Xinyuan Zhang, Jiayi Tong, Jingcheng Du, Rui Duan, Liu Yang, Jason H. Moore, Cui Tao, Yong Chen

BMC Medical Informatics Decis. Mak., 2019

2018

Comparing adverse effects of Hepatitis C drugs using FAERS data.

Jing Huang, Xinyuan Zhang, Jiayi Tong, Jingcheng Du, Rui Duan, Liu Yang, Jason H. Moore, Yong Chen, Cui Tao

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

Identification of Rare Adverse Events with Year-varying Reporting Rates for FLU4 Vaccine in VAERS.

Jiayi Tong, Jing Huang, Jingcheng Du, Yi Cai, Cui Tao, Yong Chen

Proceedings of the AMIA 2018, 2018