Rui Duan

According to our database, Rui Duan authored at least 26 papers between 2016 and 2024.

Collaborative distances:

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

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Confidence score: a data-driven measure for inclusive systematic reviews considering unpublished preprints.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

OrigamiPlot: An R Package and Shiny Web App Enhanced Visualizations for Multivariate Data.

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

CoRR, 2024

Federated One-Shot Ensemble Clustering.

Rui Duan, Xin Xiong, Jueyi Liu, Katherine P. Liao, Tianxi Cai

CoRR, 2024

2023

COMMUTE: Communication-efficient transfer learning for multi-site risk prediction.

Tian Gu, Phil H. Lee, Rui Duan

J. Biomed. Informatics, January, 2023

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

SurvMaximin: Robust federated approach to transporting survival risk prediction models.

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

J. Biomed. Informatics, 2022

2021

Targeting Underrepresented Populations in Precision Medicine: A Federated Transfer Learning Approach.

Sai Li, Tianxi Cai, Rui Duan

CoRR, 2021

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

Learning from electronic health records across multiple sites: A communication-efficient and privacy-preserving distributed algorithm.

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

J. Am. Medical Informatics Assoc., 2020

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.

Rui Duan, Xinyuan Zhang, Jingcheng Du, Jing Huang, Cui Tao, Yong Chen

Health Informatics J., 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

A regression framework to uncover pleiotropy in large-scale electronic health record data.

Ruowang Li, Rui Duan, Daniel J. Rader, Scott M. Damrauer, Jason H. Moore, Yong Chen

J. Am. Medical Informatics Assoc., 2019

Heterogeneity-aware and communication-efficient distributed statistical inference.

Rui Duan, Yang Ning, Yong Chen

CoRR, 2019

ODAL: A one-shot distributed algorithm to perform logistic regressions on electronic health records data from multiple clinical sites.

Rui Duan, Mary Regina Boland, Jason H. Moore, Yong Chen

Proceedings of the Biocomputing 2019: Proceedings of the Pacific Symposium, 2019

2018

Visualized Emotion Ontology: a model for representing visual cues of emotions.

Rebecca Lin, Muhammad Amith, Chen Liang, Rui Duan, Yong Chen, Cui Tao

BMC Medical Informatics Decis. Mak., 2018

PIE: A prior knowledge guided integrated likelihood estimation method for bias reduction in association studies using electronic health records data.

Jing Huang, Rui Duan, Rebecca A. Hubbard, Yonghui Wu, Jason H. Moore, Hua Xu, Yong Chen

J. Am. Medical Informatics Assoc., 2018

Comparing Pharmacovigilance Outcomes Between FAERS and EMR Data for Acute Mania Patients.

Xinyuan Zhang, Rui Duan, Jingcheng Du, Jing Huang, Yong Chen, Cui Tao

Proceedings of the IEEE International Conference on Healthcare Informatics Workshops, 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

2017

Comparing Different Adverse Effects Among Multiple Drugs Using FAERS Data.

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

Proceedings of the MEDINFO 2017: Precision Healthcare through Informatics, 2017

Comparing the Human Papillomavirus Vaccination Opinions Trends from Different Twitter User Groups with a Machine Learning Based System and Semiparametric Nonlinear Regression.

Jingcheng Du, Jing Huang, Rui Duan, Yong Chen, Cui Tao

Proceedings of the MEDINFO 2017: Precision Healthcare through Informatics, 2017

Post-marketing Drug Safety Evaluation Using Data Mining Based on FAERS.

Rui Duan, Xinyuan Zhang, Jingcheng Du, Jing Huang, Cui Tao, Yong Chen

Proceedings of the Data Mining and Big Data - Second International Conference, 2017

2016

An Empirical Study for Impacts of Measurement Errors on EHR based Association Studies.

Rui Duan, Ming Cao, Yonghui Wu, Jing Huang, Joshua C. Denny, Hua Xu, Yong Chen

Proceedings of the AMIA 2016, 2016