Jiayi Tong

According to our database1, Jiayi Tong authored at least 16 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2024
One-shot distributed algorithms for addressing heterogeneity in competing risks data across clinical sites.
J. Biomed. Informatics, 2024

Learning competing risks across multiple hospitals: one-shot distributed algorithms.
J. Am. Medical Informatics Assoc., 2024

Evaluating site-of-care-related racial disparities in kidney graft failure using a novel federated learning framework.
J. Am. Medical Informatics Assoc., 2024

Confidence score: a data-driven measure for inclusive systematic reviews considering unpublished preprints.
J. Am. Medical Informatics Assoc., 2024

2022
Distributed learning for heterogeneous clinical data with application to integrating COVID-19 data across 230 sites.
npj Digit. Medicine, 2022

Federated learning algorithms for generalized mixed-effects model (GLMM) on horizontally partitioned data from distributed sources.
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.
J. Am. Medical Informatics Assoc., 2021

2020
An augmented estimation procedure for EHR-based association studies accounting for differential misclassification.
J. Am. Medical Informatics Assoc., 2020

Learning from local to global: An efficient distributed algorithm for modeling time-to-event data.
J. Am. Medical Informatics Assoc., 2020

Robust-ODAL: Learning from Heterogeneous Health Systems Without Sharing Patient-LevelData.
Proceedings of the Pacific Symposium on Biocomputing 2020, 2020

Evaluation of Phenotyping Errors on Polygenic Risk Score Predictions.
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.
Proceedings of the AMIA 2020, 2020

Leverage Real-World Longitudinal Data in Large Clinical Research Networks for Alzheimer's Disease and Related Dementia (ADRD).
Proceedings of the AMIA 2020, 2020

2019
Comparing drug safety of hepatitis C therapies using post-market data.
BMC Medical Informatics Decis. Mak., 2019

2018
Comparing adverse effects of Hepatitis C drugs using FAERS data.
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.
Proceedings of the AMIA 2018, 2018


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