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Yong 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
— 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
- Yong Chen 0004
- Yong Chen 0005
- Yong Chen 0006
- Yong Chen 0007
- Yong Chen 0008
- Yong Chen 0009 — Nanjing Longyuan Micro-Electronic Company, China
- Yong Chen 0010
- Yong Chen 0011
- Yong Chen 0012
- Yong Chen 0013
- Yong Chen 0014
- Yong Chen 0015 — University of Southampton, UK (and 1 more)
- Yong Chen 0017
- Yong Chen 0018 — Texas A&M International University, School of Business, Laredo, TX, USA (and 1 more)
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2020 – today
- 2024
- [j49]Jiayi Tong, Chongliang Luo, Yifei Sun, Rui Duan
Confidence score: a data-driven measure for inclusive systematic reviews considering unpublished preprints. J. Am. Medical Informatics Assoc. 31(4): 809-819 (2024) - [j48]Dazheng Zhang
Learning competing risks across multiple hospitals: one-shot distributed algorithms. J. Am. Medical Informatics Assoc. 31(5): 1102-1112 (2024) - [j47]Jiayi Tong, Yishan Shen, Alice Xu, Xing He
Evaluating site-of-care-related racial disparities in kidney graft failure using a novel federated learning framework. J. Am. Medical Informatics Assoc. 31(6): 1303-1312 (2024) - [j46]Dazheng Zhang
One-shot distributed algorithms for addressing heterogeneity in competing risks data across clinical sites. J. Biomed. Informatics 150: 104595 (2024) - [j45]Gongbo Zhang
Leveraging generative AI for clinical evidence synthesis needs to ensure trustworthiness. J. Biomed. Informatics 153: 104640 (2024) - [j44]Yiwen Lu, Jiayi Tong, Jessica Chubak, Thomas Lumley, Rebecca A. Hubbard, Hua Xu, Yong Chen:
Leveraging error-prone algorithm-derived phenotypes: Enhancing association studies for risk factors in EHR data. J. Biomed. Informatics 157: 104690 (2024) - [j43]Suraj Rajendran
Learning across diverse biomedical data modalities and cohorts: Challenges and opportunities for innovation. Patterns 5(2): 100913 (2024) - [j42]Jun Yu, Zhaoming Kong, Kun Chen, Xin Zhang, Yong Chen, Lifang He:
A Multilinear Least-Squares Formulation for Sparse Tensor Canonical Correlation Analysis. Trans. Mach. Learn. Res. 2024 (2024) - [c23]Huan He, William Hao, Yuanzhe Xi, Yong Chen, Bradley A. Malin, Joyce C. Ho:
A Flexible Generative Model for Heterogeneous Tabular EHR with Missing Modality. ICLR 2024 - [i12]Jun Yu, Yutong Dai, Xiaokang Liu, Jin Huang, Yishan Shen, Ke Zhang, Rong Zhou, Eashan Adhikarla
Unleashing the Power of Multi-Task Learning: A Comprehensive Survey Spanning Traditional, Deep, and Pretrained Foundation Model Eras. CoRR abs/2404.18961 (2024) - [i11]Ran Xu, Yiwen Lu, Chang Liu, Yong Chen, Yan Sun, Xiao Hu, Joyce C. Ho, Carl Yang:
From Basic to Extra Features: Hypergraph Transformer Pretrain-then-Finetuning for Balanced Clinical Predictions on EHR. CoRR abs/2406.05682 (2024) - 2023
- [j41]Yan Hu
Towards precise PICO extraction from abstracts of randomized controlled trials using a section-specific learning approach. Bioinform. 39(9) (2023) - [j40]Zhaoyi Chen, Hansi Zhang, Xi Yang, Songzi Wu, Xing He, Jie Xu, Jingchuan Guo
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) - [j39]Zhaoyi Chen, Yuchen Yang
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) - [j38]Yizhao Zhou, Jiasheng Shi, Ronen Stein, Xiaokang Liu
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) - [j37]Qiong Wu
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) - [j36]Yan Hu
Towards More Generalizable and Accurate Sentence Classification in Medical Abstracts with Less Data. J. Heal. Informatics Res. 7(4): 542-556 (2023) - [j35]Ray Bai
Scalable high-dimensional Bayesian varying coefficient models with unknown within-subject covariance. J. Mach. Learn. Res. 24: 259:1-259:49 (2023) - [i10]Suraj Rajendran, Weishen Pan, Mert R. Sabuncu, Yong Chen, Jiayu Zhou, Fei Wang:
Patchwork Learning: A Paradigm Towards Integrative Analysis across Diverse Biomedical Data Sources. CoRR abs/2305.06217 (2023) - [i9]Kai Zhang, Jun Yu, Zhiling Yan, Yixin Liu, Eashan Adhikarla
BiomedGPT: A Unified and Generalist Biomedical Generative Pre-trained Transformer for Vision, Language, and Multimodal Tasks. CoRR abs/2305.17100 (2023) - [i8]Gongbo Zhang, Qiao Jin
Leveraging Generative AI for Clinical Evidence Summarization Needs to Achieve Trustworthiness. CoRR abs/2311.11211 (2023) - 2022
- [j34]Xiaokang Liu
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) - [j33]Chongliang Luo
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) - [j32]Mackenzie J. Edmondson, Chongliang Luo
Distributed Quasi-Poisson regression algorithm for modeling multi-site count outcomes in distributed data networks. J. Biomed. Informatics 131: 104097 (2022) - [j31]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) - [j30]Andrew A. Chen
Privacy-preserving harmonization via distributed ComBat. NeuroImage 248: 118822 (2022) - [j29]Jiayi Tong, Chongliang Luo
Distributed learning for heterogeneous clinical data with application to integrating COVID-19 data across 230 sites. npj Digit. Medicine 5 (2022) - [j28]Sicong Che
Federated Multi-view Learning for Private Medical Data Integration and Analysis. ACM Trans. Intell. Syst. Technol. 13(4): 61:1-61:23 (2022) - [c22]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 - [c21]Yan Hu, Yong Chen, Hua Xu:
Improving Sentence Classification in Abstracts of Randomized Controlled Trial using Prompt Learning. ICHI 2022: 606-607 - 2021
- [j27]Maria Laura Delle Monache
A Three-Phase Fundamental Diagram from Three-Dimensional Traffic Data. Axioms 10(1): 17 (2021) - [j26]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) - [j25]Aditya Mishra
Generalized co-sparse factor regression. Comput. Stat. Data Anal. 157: 107127 (2021) - [j24]Jingcheng Du
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) - [j23]Ziyan Yin, Jiayi Tong, Yong Chen
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) - [j22]Rebecca A. Hubbard, Jinyu Xu, Robert Siegel, Yong Chen
Studying pediatric health outcomes with electronic health records using Bayesian clustering and trajectory analysis. J. Biomed. Informatics 113: 103654 (2021) - [c20]Qian Li, Hansi Zhang, Zhaoyi Chen, Yi Guo, Thomas J. George, Yong Chen, Fei Wang, Jiang Bian:
Validation of Real-World Data-based Endpoint Measures of Cancer Treatment Outcomes. AMIA 2021 - [i7]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) - [i6]Sarthak Pati, Ujjwal Baid, Maximilian Zenk, Brandon Edwards, Micah J. Sheller, G. Anthony Reina, Patrick Foley, Alexey Gruzdev, Jason Martin, Shadi Albarqouni, Yong Chen, Russell Taki Shinohara, Annika Reinke, David Zimmerer, John B. Freymann, Justin S. Kirby, Christos Davatzikos, Rivka R. Colen, Aikaterini Kotrotsou, Daniel S. Marcus, Mikhail Milchenko, Arash Nazeri, Hassan M. Fathallah-Shaykh, Roland Wiest, András Jakab
The Federated Tumor Segmentation (FeTS) Challenge. CoRR abs/2105.05874 (2021) - [i5]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) - [i4]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
- [j21]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) - [j20]Jason H. Moore, Ian Barnett, Mary Regina Boland
Ideas for how informaticians can get involved with COVID-19 research. BioData Min. 13(1): 3 (2020) - [j19]Rui Duan, Xinyuan Zhang, Jingcheng Du, Jing Huang, Cui Tao
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) - [j18]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) - [j17]Rui Duan
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) - [j16]Rui Duan, Chongliang Luo
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) - [j15]Jean Louis Raisaro
SCOR: A secure international informatics infrastructure to investigate COVID-19. J. Am. Medical Informatics Assoc. 27(11): 1721-1726 (2020) - [j14]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) - [c19]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 - [c18]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 - [c17]Ruowang Li, Jiayi Tong, Rui Duan, Yong Chen, Jason H. Moore:
Evaluation of Phenotyping Errors on Polygenic Risk Score Predictions. BIOINFORMATICS 2020: 123-130 - [c16]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
- [j13]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) - [j12]Ruowang Li
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) - [j11]Ruowang Li
A regression framework to uncover pleiotropy in large-scale electronic health record data. J. Am. Medical Informatics Assoc. 26(10): 1083-1090 (2019) - [j10]Jing Huang, Xinyuan Zhang, Jiayi Tong, Jingcheng Du, Rui Duan, Liu Yang
Comparing drug safety of hepatitis C therapies using post-market data. BMC Medical Informatics Decis. Mak. 19-S(4): 147:1-147:12 (2019) - [j9]Jingcheng Du
Leveraging deep learning to understand health beliefs about the Human Papillomavirus Vaccine from social media. npj Digit. Medicine 2 (2019) - [c15]Jason H. Moore, Randal S. Olson, Yong Chen, Moshe Sipper
Discovering test statistics using genetic programming. GECCO (Companion) 2019: 29-30 - [c14]Muhammad Amith
Early Usability Assessment of a Conversational Agent for HPV Vaccination. ITCH 2019: 17-23 - [c13]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 - [c12]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 - [i3]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) - [i2]Rui Duan, Yang Ning, Yong Chen:
Heterogeneity-aware and communication-efficient distributed statistical inference. CoRR abs/1912.09623 (2019) - 2018
- [j8]Jing Huang, Rui Duan, Rebecca A. Hubbard
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) - [j7]Rebecca Lin, Muhammad Amith, Chen Liang
Visualized Emotion Ontology: a model for representing visual cues of emotions. BMC Medical Informatics Decis. Mak. 18(S-2): 101-113 (2018) - [c11]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 - [c10]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 - [c9]Jing Huang, Xinyuan Zhang, Jiayi Tong, Jingcheng Du, Rui Duan, Liu Yang
Comparing adverse effects of Hepatitis C drugs using FAERS data. BIBM 2018: 1653-1656 - [c8]Lifang He, Chun-Ta Lu, Yong Chen, Jiawei Zhang, Linlin Shen, Philip S. Yu, Fei Wang:
A Self-Organizing Tensor Architecture for Multi-view Clustering. ICDM 2018: 1007-1012 - [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 - [i1]Lifang He, Chun-Ta Lu, Yong Chen, Jiawei Zhang, Linlin Shen, Philip S. Yu, Fei Wang:
A Self-Organizing Tensor Architecture for Multi-View Clustering. CoRR abs/1810.07874 (2018) - 2017
- [j6]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) - [j5]Yong Chen, Li Zhao, Yi Wang, Ming Cao, Violet Gelowani, Mingchu Xu, Smriti A. Agrawal, Yumei Li, Stephen P. Daiger, Richard A. Gibbs, Fei Wang
SeqCNV: a novel method for identification of copy number variations in targeted next-generation sequencing data. BMC Bioinform. 18(1): 147:1-147:9 (2017) - [j4]Yi Cai, Jingcheng Du, Jing Huang, Susan S. Ellenberg, Sean Hennessy, Cui Tao
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
Comparing Different Adverse Effects Among Multiple Drugs Using FAERS Data. MedInfo 2017: 1268 - 2016
- [j3]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
- [j2]Fei Wang, Lichun Jiang, Yong Chen, Nele A. Haelterman, Hugo J. Bellen
FlyVar: a database for genetic variation in Drosophila melanogaster. Database J. Biol. Databases Curation 2015 (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)
Coauthor Index
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last updated on 2024-11-11 21:29 CET by the dblp team
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