Chongliang Luo

According to our database, Chongliang Luo authored at least 11 papers between 2018 and 2024.

Collaborative distances:

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

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

Confidence score: a data-driven measure for inclusive systematic reviews considering unpublished preprints.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

Privacy-preserving harmonization via distributed ComBat.

Andrew A. Chen, Chongliang Luo, Yong Chen, Russell T. Shinohara, Haochang Shou

NeuroImage, 2022

Distributed Quasi-Poisson regression algorithm for modeling multi-site count outcomes in distributed data networks.

Mackenzie J. Edmondson, Chongliang Luo, Md. Nazmul Islam, Natalie E. Sheils, John Buresh, Zhaoyi Chen, Jiang Bian, Yong Chen

J. Biomed. Informatics, 2022

dPQL: a lossless distributed algorithm for generalized linear mixed model with application to privacy-preserving hospital profiling.

Chongliang Luo, Md. Nazmul Islam, Natalie E. Sheils, John Buresh, Martijn J. Schuemie, Jalpa A. Doshi, Rachel M. Werner, David A. Asch, Yong Chen

J. Am. Medical Informatics Assoc., 2022

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

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

Leveraging deep learning to understand health beliefs about the Human Papillomavirus Vaccine from social media.

Jingcheng Du, Rachel Cunningham, Yang Xiang, Fang Li, Yuxi Jia, Julie A. Boom, Sahiti Myneni, Jiang Bian, Chongliang Luo, Yong Chen, Cui Tao

npj Digit. Medicine, 2019

Exploring difference in public perceptions on HPV vaccine between gender groups from Twitter using deep learning.

Jingcheng Du, Chongliang Luo, Qiang Wei, Yong Chen, Cui Tao

CoRR, 2019

2018

Leveraging mixed and incomplete outcomes via reduced-rank modeling.

Chongliang Luo, Jian Liang, Gen Li, Fei Wang, Changshui Zhang, Dipak K. Dey, Kun Chen

J. Multivar. Anal., 2018