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ORCIDYong Chen 0016
Person information
- affiliation: University of Pennsylvania, Department of Biostatistics, Philadelphia, PA, USA
- affiliation: Johns Hopkins University, Baltimore, MD, USA
Other persons with the same name
- Yong Chen — disambiguation page
- Yong Chen 0001
![[0000-0002-9961-9051]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-9961-9051")
— Texas Tech University, Department of Computer Science, Lubbock, TX, USA (and 2 more) - Yong Chen 0002 — Hangzhou Dianzi University, Department of Mathematics, China (and 1 more)
- Yong Chen 0003 — National University of Defense Technology, College of Aerospace and Materials Engineering, Changsha, China
- Yong Chen 0004 — Huazhong University of Science and Technology, Big Data Technology and System Lab, Wuhan, China (and 1 more)
- Yong Chen 0005 — University of Macau, State Key Laboratory of Analog and Mixed-Signal, Macau (and 3 more)
- Yong Chen 0006 — University of Hong Kong, Department of Mechanical Engineering, Hong Kong
- Yong Chen 0007 — Chongqing University of Posts and Telecommunications, MOE, Key Laboratory of Industrial Internet of Things and Network Control, China (and 1 more)
- Yong Chen 0008 — Beihang University, Department of Computer Science and Engineering, Beijing, China
- Yong Chen 0009 — Nanjing Longyuan Micro-Electronic Company, China
- Yong Chen 0010 — University of Electronic Science and Technology of China, School of Automation Engineering / Institute of Electric Vehicle Driving System and Safety Technology, Chengdu, China (and 1 more)
- Yong Chen 0011 — University of Maryland, Earth System Science Interdisciplinary Research Center, College Park, MD, USA (and 2 more)
- Yong Chen 0012 — Beijing Institute of Technology, School of Mechanical Engineering, Beijing, China
- Yong Chen 0013 — University of Electronic Science and Technology of China, School of Mathematical Sciences / Research Center for Image and Vision Computing, Chengdu, China
- Yong Chen 0014 — Dresden University of Technology, Vodafone Chair for Mobile Communications Systems, Dresden, Germany
- Yong Chen 0015 — University of Southampton, UK (and 1 more)
- Yong Chen 0017 — University of Southern California, Epstein Department of Industrial and Systems Engineering, Los Angeles, CA, USA (and 1 more)
- Yong Chen 0018 — Texas A&M International University, School of Business, Laredo, TX, USA (and 1 more)
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2020 – today
- 2023
[j37]Zhaoyi Chen, Hansi Zhang, Xi Yang, Songzi Wu, Xing He, Jie Xu, Jingchuan Guo, Mattia Prosperi, Fei Wang, Hua Xu, Yong Chen, Hui Hu, Steven DeKosky, Matthew Farrer, Yi Guo, Yonghui Wu, Jiang Bian:
Assess the documentation of cognitive tests and biomarkers in electronic health records via natural language processing for Alzheimer's disease and related dementias. Int. J. Medical Informatics 170: 104973 (2023)- [j36]Zhaoyi Chen, Yuchen Yang, Dazheng Zhang, Jingchuan Guo, Yi Guo, Xia Hu, Yong Chen, Jiang Bian:
Predicting the Risk of Alzheimer's Disease and Related Dementia in Patients with Mild Cognitive Impairment Using a Semi-Competing Risk Approach. Informatics 10(2): 46 (2023) - [j35]Yizhao Zhou, Jiasheng Shi, Ronen Stein, Xiaokang Liu, Robert N. Baldassano, Christopher B. Forrest, Yong Chen, Jing Huang:
Missing data matter: an empirical evaluation of the impacts of missing EHR data in comparative effectiveness research. J. Am. Medical Informatics Assoc. 30(7): 1246-1256 (2023) - [j34]Qiong Wu, Martijn J. Schuemie, Marc A. Suchard, Patrick B. Ryan, George Hripcsak, Charles A. Rohde, Yong Chen:
Padé approximant meets federated learning: A nearly lossless, one-shot algorithm for evidence synthesis in distributed research networks with rare outcomes. J. Biomed. Informatics 145: 104476 (2023) - [j33]Yan Hu, Yong Chen, Hua Xu:
Towards More Generalizable and Accurate Sentence Classification in Medical Abstracts with Less Data. J. Heal. Informatics Res. 7(4): 542-556 (2023) - 2022
- [j32]Xiaokang Liu, Jessica Chubak, Rebecca A. Hubbard, Yong Chen:
SAT: a Surrogate-Assisted Two-wave case boosting sampling method, with application to EHR-based association studies. J. Am. Medical Informatics Assoc. 29(5): 918-927 (2022) - [j31]Chongliang Luo, Md. Nazmul Islam, Natalie E. Sheils, John Buresh, Martijn J. Schuemie, Jalpa A. Doshi, Rachel M. Werner, David A. Asch, Yong Chen:
dPQL: a lossless distributed algorithm for generalized linear mixed model with application to privacy-preserving hospital profiling. J. Am. Medical Informatics Assoc. 29(8): 1366-1371 (2022) - [j30]Mackenzie J. Edmondson, Chongliang Luo, Md. Nazmul Islam, Natalie E. Sheils, John Buresh, Zhaoyi Chen, Jiang Bian, Yong Chen:
Distributed Quasi-Poisson regression algorithm for modeling multi-site count outcomes in distributed data networks. J. Biomed. Informatics 131: 104097 (2022) - [j29]Wentao Li, Jiayi Tong, Md. Monowar Anjum, Noman Mohammed, Yong Chen, Xiaoqian Jiang:
Federated learning algorithms for generalized mixed-effects model (GLMM) on horizontally partitioned data from distributed sources. BMC Medical Informatics Decis. Mak. 22(1): 269 (2022) - [j28]Andrew A. Chen, Chongliang Luo, Yong Chen, Russell T. Shinohara, Haochang Shou:
Privacy-preserving harmonization via distributed ComBat. NeuroImage 248: 118822 (2022) - [j27]Jiayi Tong, Chongliang Luo, Md. Nazmul Islam, Natalie E. Sheils, John Buresh, Mackenzie J. Edmondson, Peter A. Merkel, Ebbing Lautenbach, Rui Duan, Yong Chen:
Distributed learning for heterogeneous clinical data with application to integrating COVID-19 data across 230 sites. npj Digit. Medicine 5 (2022) - [j26]Sicong Che, Zhaoming Kong, Hao Peng, Lichao Sun, Alex D. Leow, Yong Chen, Lifang He:
Federated Multi-view Learning for Private Medical Data Integration and Analysis. ACM Trans. Intell. Syst. Technol. 13(4): 61:1-61:23 (2022) - [c20]Jun Yu, Benjamin Zalatan, Yong Chen, Li Shen, Lifang He:
Tensor-Based Multi-Modal Multi-Target Regression for Alzheimer's Disease Prediction. BIBM 2022: 639-646 - [c19]Yan Hu, Yong Chen, Hua Xu:
Improving Sentence Classification in Abstracts of Randomized Controlled Trial using Prompt Learning. ICHI 2022: 606-607 - 2021
- [j25]Maria Laura Delle Monache, Karen Chi, Yong Chen, Paola Goatin, Ke Han, Jing-Mei Qiu, Benedetto Piccoli:
A Three-Phase Fundamental Diagram from Three-Dimensional Traffic Data. Axioms 10(1): 17 (2021) - [j24]Xu Zuo, Yong Chen, Lucila Ohno-Machado, Hua Xu:
How do we share data in COVID-19 research? A systematic review of COVID-19 datasets in PubMed Central Articles. Briefings Bioinform. 22(2): 800-811 (2021) - [j23]Aditya Mishra, Dipak K. Dey, Yong Chen, Kun Chen:
Generalized co-sparse factor regression. Comput. Stat. Data Anal. 157: 107127 (2021) - [j22]Jingcheng Du, Yang Xiang, Madhuri Sankaranarayanapillai, Meng Zhang, Jingqi Wang, Yuqi Si, Huy Anh Pham, Hua Xu, Yong Chen, Cui Tao:
Extracting postmarketing adverse events from safety reports in the vaccine adverse event reporting system (VAERS) using deep learning. J. Am. Medical Informatics Assoc. 28(7): 1393-1400 (2021) - [j21]Ziyan Yin, Jiayi Tong, Yong Chen, Rebecca A. Hubbard, Cheng Yong Tang:
A cost-effective chart review sampling design to account for phenotyping error in electronic health records (EHR) data. J. Am. Medical Informatics Assoc. 29(1): 52-61 (2021) - [j20]Rebecca A. Hubbard, Jinyu Xu, Robert Siegel, Yong Chen, Ihuoma Eneli:
Studying pediatric health outcomes with electronic health records using Bayesian clustering and trajectory analysis. J. Biomed. Informatics 113: 103654 (2021) - [i5]Sicong Che, Hao Peng, Lichao Sun, Yong Chen, Lifang He:
Federated Multi-View Learning for Private Medical Data Integration and Analysis. CoRR abs/2105.01603 (2021) - [i4]Zhaoming Kong, Lichao Sun, Hao Peng, Liang Zhan, Yong Chen, Lifang He:
Multiplex Graph Networks for Multimodal Brain Network Analysis. CoRR abs/2108.00158 (2021) - [i3]Wentao Li, Jiayi Tong, Md. Monowar Anjum, Noman Mohammed, Yong Chen, Xiaoqian Jiang:
Federated Learning Algorithms for Generalized Mixed-effects Model (GLMM) on Horizontally Partitioned Data from Distributed Sources. CoRR abs/2109.14046 (2021) - 2020
- [j19]Jason H. Moore, Randal S. Olson, Peter Schmitt, Yong Chen, Elisabetta Manduchi:
How Computational Experiments Can Improve Our Understanding of the Genetic Architecture of Common Human Diseases. Artif. Life 26(1): 23-37 (2020) - [j18]Jason H. Moore, Ian Barnett, Mary Regina Boland, Yong Chen, George Demiris, Graciela Gonzalez-Hernandez, Daniel S. Herman, Blanca E. Himes, Rebecca A. Hubbard, Dokyoon Kim, Jeffrey S. Morris, Danielle L. Mowery, Marylyn D. Ritchie, Li Shen, Ryan J. Urbanowicz, John H. Holmes:
Ideas for how informaticians can get involved with COVID-19 research. BioData Min. 13(1): 3 (2020) - [j17]Rui Duan, Xinyuan Zhang, Jingcheng Du, Jing Huang, Cui Tao, Yong Chen:
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. 26(2): 753-764 (2020) - [j16]Jiayi Tong, Jing Huang, Jessica Chubak, Xuan Wang, Jason H. Moore, Rebecca A. Hubbard, Yong Chen:
An augmented estimation procedure for EHR-based association studies accounting for differential misclassification. J. Am. Medical Informatics Assoc. 27(2): 244-253 (2020) - [j15]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:
Learning from electronic health records across multiple sites: A communication-efficient and privacy-preserving distributed algorithm. J. Am. Medical Informatics Assoc. 27(3): 376-385 (2020) - [j14]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:
Learning from local to global: An efficient distributed algorithm for modeling time-to-event data. J. Am. Medical Informatics Assoc. 27(7): 1028-1036 (2020) - [j13]Jean Louis Raisaro, Francesco Marino, Juan Ramón Troncoso-Pastoriza, Raphaelle Beau-Lejdstrom, Riccardo Bellazzi, Robert Murphy, Elmer V. Bernstam, Henry Wang, Mauro Bucalo, Yong Chen, Assaf Gottlieb, Arif Ozgun Harmanci, Miran Kim, Yejin Kim, Jeffrey G. Klann, Catherine Klersy, Bradley A. Malin, Marie Méan, Fabian Prasser, Luigia Scudeller, Ali Torkamani, Julien Vaucher, Mamta Puppala, Stephen T. C. Wong, Milana Frenkel-Morgenstern, Hua Xu, Baba Maiyaki Musa, Abdulrazaq G. Habib, Trevor Cohen, Adam B. Wilcox, Hamisu M. Salihu, Heidi Sofia, Xiaoqian Jiang, Jean-Pierre Hubaux:
SCOR: A secure international informatics infrastructure to investigate COVID-19. J. Am. Medical Informatics Assoc. 27(11): 1721-1726 (2020) - [j12]Yong Chen, Lili Huang, Yue Liu:
On the Modelling of Shallow-Water Waves with the Coriolis Effect. J. Nonlinear Sci. 30(1): 93-135 (2020) - [c18]Rui Duan, Zhaoyi Chen, Jiayi Tong, Chongliang Luo, Tianchen Lyu, Cui Tao, Demetrius Maraganore, Jiang Bian, Yong Chen:
Leverage Real-World Longitudinal Data in Large Clinical Research Networks for Alzheimer's Disease and Related Dementia (ADRD). AMIA 2020 - [c17]Jiayi Tong, Zhaoyi Chen, Rui Duan, Wei-Hsuan Lo-Ciganic, Tianchen Lyu, Cui Tao, Peter A. Merkel, Henry R. Kranzler, Jiang Bian, Yong Chen:
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 2020 - [c16]Ruowang Li, Jiayi Tong, Rui Duan, Yong Chen, Jason H. Moore:
Evaluation of Phenotyping Errors on Polygenic Risk Score Predictions. BIOINFORMATICS 2020: 123-130 - [c15]Jiayi Tong, Rui Duan, Ruowang Li, Martijn J. Scheuemie, Jason H. Moore, Yong Chen:
Robust-ODAL: Learning from Heterogeneous Health Systems Without Sharing Patient-LevelData. PSB 2020: 695-706
2010 – 2019
- 2019
- [j11]Jason H. Moore, Randal S. Olson, Yong Chen, Moshe Sipper:
Automated discovery of test statistics using genetic programming. Genet. Program. Evolvable Mach. 20(1): 127-137 (2019) - [j10]Ruowang Li, Yong Chen, Jason H. Moore:
Integration of genetic and clinical information to improve imputation of data missing from electronic health records. J. Am. Medical Informatics Assoc. 26(10): 1056-1063 (2019) - [j9]Ruowang Li, Rui Duan, Daniel J. Rader, Scott M. Damrauer, Jason H. Moore, Yong Chen:
A regression framework to uncover pleiotropy in large-scale electronic health record data. J. Am. Medical Informatics Assoc. 26(10): 1083-1090 (2019) - [j8]Jing Huang, Xinyuan Zhang, Jiayi Tong, Jingcheng Du, Rui Duan, Liu Yang, Jason H. Moore, Cui Tao, Yong Chen:
Comparing drug safety of hepatitis C therapies using post-market data. BMC Medical Informatics Decis. Mak. 19-S(4): 147:1-147:12 (2019) - [j7]Jingcheng Du, Rachel Cunningham, Yang Xiang, Fang Li, Yuxi Jia, Julie A. Boom, Sahiti Myneni, Jiang Bian, Chongliang Luo, Yong Chen, Cui Tao:
Leveraging deep learning to understand health beliefs about the Human Papillomavirus Vaccine from social media. npj Digit. Medicine 2 (2019) - [c14]Jason H. Moore, Randal S. Olson, Yong Chen, Moshe Sipper:
Discovering test statistics using genetic programming. GECCO (Companion) 2019: 29-30 - [c13]Muhammad Amith, Anna Zhu, Rachel Cunningham, Rebecca Lin, Lara S. Savas, Laura Shay, Yong Chen, Yang Gong, Julie Boom, Kirk Roberts, Cui Tao:
Early Usability Assessment of a Conversational Agent for HPV Vaccination. ITCH 2019: 17-23 - [c12]Rui Duan, Mary Regina Boland, Jason H. Moore, Yong Chen:
ODAL: A one-shot distributed algorithm to perform logistic regressions on electronic health records data from multiple clinical sites. PSB 2019: 30-41 - [c11]Graciela Gonzalez, Zhiyong Lu, Robert Leaman, Davy Weissenbacher, Mary Regina Boland, Yong Chen, Jingcheng Du, Juliane Fluck, Casey S. Greene, John H. Holmes, Aditya Kashyap, Rikke Linnemann Nielsen, Zhengqing Ouyang, Sebastian Schaaf, Jaclyn N. Taroni, Cui Tao, Yuping Zhang, Hongfang Liu:
Text Mining and Machine Learning for Precision Medicine. PSB 2019: 449-454 - [i2]Jingcheng Du, Chongliang Luo, Qiang Wei, Yong Chen, Cui Tao:
Exploring difference in public perceptions on HPV vaccine between gender groups from Twitter using deep learning. CoRR abs/1907.03167 (2019) - [i1]Rui Duan, Yang Ning, Yong Chen:
Heterogeneity-aware and communication-efficient distributed statistical inference. CoRR abs/1912.09623 (2019) - 2018
- [j6]Jing Huang, Rui Duan, Rebecca A. Hubbard, Yonghui Wu, Jason H. Moore, Hua Xu, Yong Chen:
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. 25(3): 345-352 (2018) - [j5]Rebecca Lin, Muhammad Amith, Chen Liang, Rui Duan, Yong Chen, Cui Tao:
Visualized Emotion Ontology: a model for representing visual cues of emotions. BMC Medical Informatics Decis. Mak. 18(S-2): 101-113 (2018) - [c10]Jiayi Tong, Jing Huang, Jingcheng Du, Yi Cai, Cui Tao, Yong Chen:
Identification of Rare Adverse Events with Year-varying Reporting Rates for FLU4 Vaccine in VAERS. AMIA 2018 - [c9]Ming Cao, Yong Chen, Kayo Fujimoto, Michael Schweinberger:
A Two-Stage Working Model Strategy for Network Analysis Under Hierarchical Exponential Random Graph Models. ASONAM 2018: 290-298 - [c8]Jing Huang, Xinyuan Zhang, Jiayi Tong, Jingcheng Du, Rui Duan, Liu Yang, Jason H. Moore, Yong Chen, Cui Tao:
Comparing adverse effects of Hepatitis C drugs using FAERS data. BIBM 2018: 1653-1656 - [c7]Xinyuan Zhang, Rui Duan, Jingcheng Du, Jing Huang, Yong Chen, Cui Tao:
Comparing Pharmacovigilance Outcomes Between FAERS and EMR Data for Acute Mania Patients. ICHI Workshops 2018: 57-59 - [c6]Jason H. Moore, Randal S. Olson, Peter Schmitt, Yong Chen, Elisabetta Manduchi:
How computational thought experiments can improve our understanding of the genetic architecture of common human diseases. ALIFE 2018: 23-30 - 2017
- [j4]Hokeun Sun, Ya Wang, Yong Chen, Yun Li, Shuang Wang:
pETM: a penalized Exponential Tilt Model for analysis of correlated high-dimensional DNA methylation data. Bioinform. 33(12): 1765-1772 (2017) - [j3]Yi Cai, Jingcheng Du, Jing Huang, Susan S. Ellenberg, Sean Hennessy, Cui Tao, Yong Chen:
A signal detection method for temporal variation of adverse effect with vaccine adverse event reporting system data. BMC Medical Informatics Decis. Mak. 17(2): 93-100 (2017) - [c5]Rui Duan, Xinyuan Zhang, Jingcheng Du, Jing Huang, Cui Tao, Yong Chen:
Post-marketing Drug Safety Evaluation Using Data Mining Based on FAERS. DMBD 2017: 379-389 - [c4]Jingcheng Du, Jing Huang, Rui Duan, Yong Chen, Cui Tao:
Comparing the Human Papillomavirus Vaccination Opinions Trends from Different Twitter User Groups with a Machine Learning Based System and Semiparametric Nonlinear Regression. MedInfo 2017: 1218 - [c3]Jing Huang, Xinyuan Zhang, Jingcheng Du, Rui Duan, Liu Yang, Jason H. Moore, Yong Chen, Cui Tao:
Comparing Different Adverse Effects Among Multiple Drugs Using FAERS Data. MedInfo 2017: 1268 - 2016
- [j2]Jingcheng Du, Yi Cai, Yong Chen, Cui Tao:
Trivalent influenza vaccine adverse symptoms analysis based on MedDRA terminology using VAERS data in 2011. J. Biomed. Semant. 7: 13 (2016) - [c2]Rui Duan, Ming Cao, Yonghui Wu, Jing Huang, Joshua C. Denny, Hua Xu, Yong Chen:
An Empirical Study for Impacts of Measurement Errors on EHR based Association Studies. AMIA 2016 - 2015
- [c1]Cui Tao, Jingcheng Du, Yi Cai, Yong Chen:
Trivalent Influenza Vaccine Adverse Event Analysis Based On MedDRA System Organ Classes Using VAERS Data. MedInfo 2015: 1076 - 2013
- [j1]Pan Tong, Yong Chen, Xiao Su, Kevin R. Coombes:
SIBER: systematic identification of bimodally expressed genes using RNAseq data. Bioinform. 29(5): 605-613 (2013)
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