Jiayi Tong

According to our database, Jiayi Tong authored at least 18 papers between 2018 and 2024.

Collaborative distances:

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

2024

A latent transfer learning method for estimating hospital-specific post-acute healthcare demands following SARS-CoV-2 infection.

Qiong Wu, Nathan M. Pajor, Yiwen Lu, Charles J. Wolock, Jiayi Tong, Vitaly Lorman, Kevin B. Johnson, Jason H. Moore, Christopher B. Forrest, David A. Asch, Yong Chen

Patterns, 2024

One-shot distributed algorithms for addressing heterogeneity in competing risks data across clinical sites.

Dazheng Zhang, Jiayi Tong, Ronen Stein, Yiwen Lu, Naimin Jing, Yuchen Yang, Mary Regina Boland, Chongliang Luo, Robert N. Baldassano, Raymond J. Carroll, Christopher B. Forrest, Yong Chen

J. Biomed. Informatics, 2024

Leveraging error-prone algorithm-derived phenotypes: Enhancing association studies for risk factors in EHR data.

Yiwen Lu, Jiayi Tong, Jessica Chubak, Thomas Lumley, Rebecca A. Hubbard, Hua Xu, Yong Chen

J. Biomed. Informatics, 2024

Learning competing risks across multiple hospitals: one-shot distributed algorithms.

Dazheng Zhang, Jiayi Tong, Naimin Jing, Yuchen Yang, Chongliang Luo, Yiwen Lu, Dimitri A. Christakis, Diana Güthe, Mady Hornig, Kelly J. Kelleher, Keith E. Morse, Colin M. Rogerson, Jasmin Divers, Raymond J. Carroll, Christopher B. Forrest, Yong Chen

J. Am. Medical Informatics Assoc., 2024

Evaluating site-of-care-related racial disparities in kidney graft failure using a novel federated learning framework.

Jiayi Tong, Yishan Shen, Alice Xu, Xing He, Chongliang Luo, Mackenzie J. Edmondson, Dazheng Zhang, Yiwen Lu, Chao Yan, Ruowang Li, Lianne Siegel, Lichao Sun, Elizabeth A. Shenkman, Sally C. Morton, Bradley A. Malin, Jiang Bian, David A. Asch, Yong Chen

J. Am. Medical Informatics Assoc., 2024

Confidence score: a data-driven measure for inclusive systematic reviews considering unpublished preprints.

Jiayi Tong, Chongliang Luo, Yifei Sun, Rui Duan, M. Elle Saine, Lifeng Lin, Yifan Peng, Yiwen Lu, Anchita Batra, Anni Pan, Olivia Wang, Ruowang Li, Arielle Marks-Anglin, Yuchen Yang, Xu Zuo, Yulun Liu, Jiang Bian, Stephen E. Kimmel, Keith Hamilton, Adam Cuker, Rebecca A. Hubbard, Hua Xu, Yong Chen

J. Am. Medical Informatics Assoc., 2024

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