Rui Duan

28 papers Misc 5Journal 17Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
PDA in Action: Ten Principles for High-Quality Multi-Site Clinical Evidence Generation.
CoRR
Yong Chen, Jiayi Tong, Yiwen Lu, Rui Duan, Chongliang Luo, Marc A. Suchard, Patrick B. Ryan, Andrew E. Williams, John H. Holmes, Jason H. Moore, Hua Xu, Yun Lu, Raymond J. Carroll, Scott L. Zeger, George Hripcsak, Martijn J. Schuemie
2025 J jnl
A one-shot, lossless algorithm for cross-cohort learning in mixed-outcomes analysis.
Patterns
Ruowang Li, Luke Benz, Rui Duan, Joshua C. Denny, Hakon Hakonarson, Jonathan D. Mosley, Jordan W. Smoller, Wei-Qi Wei, Thomas Lumley, Marylyn D. Ritchie, Jason H. Moore, Yong Chen
2024 J jnl
Confidence score: a data-driven measure for inclusive systematic reviews considering unpublished preprints.
J. Am. Medical Informatics Assoc.
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
2024 J jnl
Federated One-Shot Ensemble Clustering.
CoRR
Rui Duan, Xin Xiong, Jueyi Liu, Katherine P. Liao, Tianxi Cai
2024 J jnl
OrigamiPlot: An R Package and Shiny Web App Enhanced Visualizations for Multivariate Data.
CoRR
Yiwen Lu, Jiayi Tong, Yuqing Lei, Alex J. Sutton, Haitao Chu, Lisa D. Levine, Thomas Lumley, David A. Asch, Rui Duan, Christopher H. Schmid, Yong Chen
2023 J jnl
COMMUTE: Communication-efficient transfer learning for multi-site risk prediction.
J. Biomed. Informatics
Tian Gu, Phil H. Lee, Rui Duan
2022 J jnl
Distributed learning for heterogeneous clinical data with application to integrating COVID-19 data across 230 sites.
npj Digit. Medicine
Jiayi Tong, Chongliang Luo, Md. Nazmul Islam, Natalie E. Sheils, John Buresh, Mackenzie J. Edmondson, Peter A. Merkel, Ebbing Lautenbach, Rui Duan, Yong Chen
2022 J jnl
SurvMaximin: Robust federated approach to transporting survival risk prediction models.
J. Biomed. Informatics
Xuan Wang, Harrison G. Zhang, Xin Xiong, Chuan Hong, Griffin M. Weber, Gabriel A. Brat, Clara-Lea Bonzel, Yuan Luo, Rui Duan, Nathan P. Palmer, Meghan R. Hutch, Alba Gutiérrez-Sacristán, Riccardo Bellazzi, Luca Chiovato, Kelly Cho, Arianna Dagliati, Hossein Estiri, Noelia García-Barrio, Romain Griffier, David A. Hanauer, Yuk-Lam Ho, John H. Holmes, Mark S. Keller, Jeffrey G. Klann, Sehi L'Yi, Sara Lozano-Zahonero, Sarah E. Maidlow, Adeline Makoudjou, Alberto Malovini, Bertrand Moal, Jason H. Moore, Michele Morris, Danielle L. Mowery, Shawn N. Murphy, Antoine Neuraz, Kee Yuan Ngiam, Gilbert S. Omenn, Lav P. Patel, Miguel Pedrera-Jiménez, Andrea Prunotto, Malarkodi J. Samayamuthu, Fernando J. Sanz Vidorreta, Emily Schriver, Petra Schubert, Pablo Serrano-Balazote, Andrew M. South, Amelia L. M. Tan, Byorn W. L. Tan, Valentina Tibollo, Patric Tippmann, Shyam Visweswaran, Zongqi Xia, William Yuan, Daniela Zöller, Isaac S. Kohane, Paul Avillach, Zijian Guo, Tianxi Cai
2021 J jnl
Targeting Underrepresented Populations in Precision Medicine: A Federated Transfer Learning Approach.
CoRR
Sai Li, Tianxi Cai, Rui Duan
2020 — conf
Evaluation of Phenotyping Errors on Polygenic Risk Score Predictions.
BIOINFORMATICS
Ruowang Li, Jiayi Tong, Rui Duan, Yong Chen, Jason H. Moore
2020 Misc conf
Identifying Clinical Risk Factors for Opioid Use Disorder using a Distributed Algorithm to Combine Real-World Data from a Large Clinical Data Research Network.
AMIA
Jiayi Tong, Zhaoyi Chen, Rui Duan, Wei-Hsuan Lo-Ciganic, Tianchen Lyu, Cui Tao, Peter A. Merkel, Henry R. Kranzler, Jiang Bian, Yong Chen
2020 J jnl
Learning from electronic health records across multiple sites: A communication-efficient and privacy-preserving distributed algorithm.
J. Am. Medical Informatics Assoc.
Rui Duan, Mary Regina Boland, Zixuan Liu, Yue Liu, Howard H. Chang, Hua Xu, Haitao Chu, Christopher H. Schmid, Christopher B. Forrest, John H. Holmes, Martijn J. Schuemie, Jesse A. Berlin, Jason H. Moore, Yong Chen
2020 J jnl
Learning from local to global: An efficient distributed algorithm for modeling time-to-event data.
J. Am. Medical Informatics Assoc.
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
2020 Misc conf
Leverage Real-World Longitudinal Data in Large Clinical Research Networks for Alzheimer's Disease and Related Dementia (ADRD).
AMIA
Rui Duan, Zhaoyi Chen, Jiayi Tong, Chongliang Luo, Tianchen Lyu, Cui Tao, Demetrius Maraganore, Jiang Bian, Yong Chen
2020 J jnl
On the evidence consistency of pharmacovigilance outcomes between Food and Drug Administration Adverse Event Reporting System and electronic medical record data for acute mania patients.
Health Informatics J.
Rui Duan, Xinyuan Zhang, Jingcheng Du, Jing Huang, Cui Tao, Yong Chen
2020 Misc conf
Robust-ODAL: Learning from Heterogeneous Health Systems Without Sharing Patient-LevelData.
PSB
Jiayi Tong, Rui Duan, Ruowang Li, Martijn J. Scheuemie, Jason H. Moore, Yong Chen
2019 J jnl
A regression framework to uncover pleiotropy in large-scale electronic health record data.
J. Am. Medical Informatics Assoc.
Ruowang Li, Rui Duan, Daniel J. Rader, Scott M. Damrauer, Jason H. Moore, Yong Chen
2019 J jnl
Comparing drug safety of hepatitis C therapies using post-market data.
BMC Medical Informatics Decis. Mak.
Jing Huang, Xinyuan Zhang, Jiayi Tong, Jingcheng Du, Rui Duan, Liu Yang, Jason H. Moore, Cui Tao, Yong Chen
2019 J jnl
Heterogeneity-aware and communication-efficient distributed statistical inference.
CoRR
Rui Duan, Yang Ning, Yong Chen
2019 Misc conf
ODAL: A one-shot distributed algorithm to perform logistic regressions on electronic health records data from multiple clinical sites.
PSB
Rui Duan, Mary Regina Boland, Jason H. Moore, Yong Chen
2018 — conf
Comparing Pharmacovigilance Outcomes Between FAERS and EMR Data for Acute Mania Patients.
ICHI Workshops
Xinyuan Zhang, Rui Duan, Jingcheng Du, Jing Huang, Yong Chen, Cui Tao
2018 — conf
Comparing adverse effects of Hepatitis C drugs using FAERS data.
BIBM
Jing Huang, Xinyuan Zhang, Jiayi Tong, Jingcheng Du, Rui Duan, Liu Yang, Jason H. Moore, Yong Chen, Cui Tao
2018 J jnl
PIE: A prior knowledge guided integrated likelihood estimation method for bias reduction in association studies using electronic health records data.
J. Am. Medical Informatics Assoc.
Jing Huang, Rui Duan, Rebecca A. Hubbard, Yonghui Wu, Jason H. Moore, Hua Xu, Yong Chen
2018 J jnl
Visualized Emotion Ontology: a model for representing visual cues of emotions.
BMC Medical Informatics Decis. Mak.
Rebecca Lin, Muhammad Amith, Chen Liang, Rui Duan, Yong Chen, Cui Tao
2017 — conf
Comparing Different Adverse Effects Among Multiple Drugs Using FAERS Data.
MedInfo
Jing Huang, Xinyuan Zhang, Jingcheng Du, Rui Duan, Liu Yang, Jason H. Moore, Yong Chen, Cui Tao
2017 — conf
Comparing the Human Papillomavirus Vaccination Opinions Trends from Different Twitter User Groups with a Machine Learning Based System and Semiparametric Nonlinear Regression.
MedInfo
Jingcheng Du, Jing Huang, Rui Duan, Yong Chen, Cui Tao
2017 — conf
Post-marketing Drug Safety Evaluation Using Data Mining Based on FAERS.
DMBD
Rui Duan, Xinyuan Zhang, Jingcheng Du, Jing Huang, Cui Tao, Yong Chen
2016 Misc conf
An Empirical Study for Impacts of Measurement Errors on EHR based Association Studies.
AMIA
Rui Duan, Ming Cao, Yonghui Wu, Jing Huang, Joshua C. Denny, Hua Xu, Yong Chen