Yong Chen
Orcid: 0000-0003-0835-0788Affiliations:
- University of Pennsylvania, Department of Biostatistics, Philadelphia, PA, USA
- Johns Hopkins University, Baltimore, MD, USA
According to our database1,
Yong Chen
authored at least 82 papers
between 2013 and 2024.
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Bibliography
2024
A Multilinear Least-Squares Formulation for Sparse Tensor Canonical Correlation Analysis.
Trans. Mach. Learn. Res., 2024
Learning across diverse biomedical data modalities and cohorts: Challenges and opportunities for innovation.
Patterns, 2024
One-shot distributed algorithms for addressing heterogeneity in competing risks data across clinical sites.
J. Biomed. Informatics, 2024
Leveraging generative AI for clinical evidence synthesis needs to ensure trustworthiness.
J. Biomed. Informatics, 2024
Leveraging error-prone algorithm-derived phenotypes: Enhancing association studies for risk factors in EHR data.
J. Biomed. Informatics, 2024
J. Am. Medical Informatics Assoc., 2024
Evaluating site-of-care-related racial disparities in kidney graft failure using a novel federated learning framework.
J. Am. Medical Informatics Assoc., 2024
Confidence score: a data-driven measure for inclusive systematic reviews considering unpublished preprints.
J. Am. Medical Informatics Assoc., 2024
From Basic to Extra Features: Hypergraph Transformer Pretrain-then-Finetuning for Balanced Clinical Predictions on EHR.
CoRR, 2024
Unleashing the Power of Multi-Task Learning: A Comprehensive Survey Spanning Traditional, Deep, and Pretrained Foundation Model Eras.
CoRR, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
2023
Towards More Generalizable and Accurate Sentence Classification in Medical Abstracts with Less Data.
J. Heal. Informatics Res., December, 2023
Padé approximant meets federated learning: A nearly lossless, one-shot algorithm for evidence synthesis in distributed research networks with rare outcomes.
J. Biomed. Informatics, September, 2023
Towards precise PICO extraction from abstracts of randomized controlled trials using a section-specific learning approach.
Bioinform., September, 2023
Missing data matter: an empirical evaluation of the impacts of missing EHR data in comparative effectiveness research.
J. Am. Medical Informatics Assoc., June, 2023
Scalable high-dimensional Bayesian varying coefficient models with unknown within-subject covariance.
J. Mach. Learn. Res., 2023
Predicting the Risk of Alzheimer's Disease and Related Dementia in Patients with Mild Cognitive Impairment Using a Semi-Competing Risk Approach.
Informatics, 2023
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, 2023
Leveraging Generative AI for Clinical Evidence Summarization Needs to Achieve Trustworthiness.
CoRR, 2023
BiomedGPT: A Unified and Generalist Biomedical Generative Pre-trained Transformer for Vision, Language, and Multimodal Tasks.
CoRR, 2023
Patchwork Learning: A Paradigm Towards Integrative Analysis across Diverse Biomedical Data Sources.
CoRR, 2023
2022
ACM Trans. Intell. Syst. Technol., 2022
Distributed learning for heterogeneous clinical data with application to integrating COVID-19 data across 230 sites.
npj Digit. Medicine, 2022
Federated learning algorithms for generalized mixed-effects model (GLMM) on horizontally partitioned data from distributed sources.
BMC Medical Informatics Decis. Mak., 2022
Distributed Quasi-Poisson regression algorithm for modeling multi-site count outcomes in distributed data networks.
J. Biomed. Informatics, 2022
dPQL: a lossless distributed algorithm for generalized linear mixed model with application to privacy-preserving hospital profiling.
J. Am. Medical Informatics Assoc., 2022
SAT: a Surrogate-Assisted Two-wave case boosting sampling method, with application to EHR-based association studies.
J. Am. Medical Informatics Assoc., 2022
Improving Sentence Classification in Abstracts of Randomized Controlled Trial using Prompt Learning.
Proceedings of the 10th IEEE International Conference on Healthcare Informatics, 2022
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
2021
Studying pediatric health outcomes with electronic health records using Bayesian clustering and trajectory analysis.
J. Biomed. Informatics, 2021
A cost-effective chart review sampling design to account for phenotyping error in electronic health records (EHR) data.
J. Am. Medical Informatics Assoc., 2021
Extracting postmarketing adverse events from safety reports in the vaccine adverse event reporting system (VAERS) using deep learning.
J. Am. Medical Informatics Assoc., 2021
CoRR, 2021
How do we share data in COVID-19 research? A systematic review of COVID-19 datasets in PubMed Central Articles.
Briefings Bioinform., 2021
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021
2020
J. Nonlinear Sci., 2020
An augmented estimation procedure for EHR-based association studies accounting for differential misclassification.
J. Am. Medical Informatics Assoc., 2020
J. Am. Medical Informatics Assoc., 2020
Learning from local to global: An efficient distributed algorithm for modeling time-to-event data.
J. Am. Medical Informatics Assoc., 2020
Learning from electronic health records across multiple sites: A communication-efficient and privacy-preserving distributed algorithm.
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.
Health Informatics J., 2020
BioData Min., 2020
How Computational Experiments Can Improve Our Understanding of the Genetic Architecture of Common Human Diseases.
Artif. Life, 2020
Robust-ODAL: Learning from Heterogeneous Health Systems Without Sharing Patient-LevelData.
Proceedings of the Pacific Symposium on Biocomputing 2020, 2020
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.
Proceedings of the AMIA 2020, 2020
Leverage Real-World Longitudinal Data in Large Clinical Research Networks for Alzheimer's Disease and Related Dementia (ADRD).
Proceedings of the AMIA 2020, 2020
2019
Leveraging deep learning to understand health beliefs about the Human Papillomavirus Vaccine from social media.
npj Digit. Medicine, 2019
BMC Medical Informatics Decis. Mak., 2019
A regression framework to uncover pleiotropy in large-scale electronic health record data.
J. Am. Medical Informatics Assoc., 2019
Integration of genetic and clinical information to improve imputation of data missing from electronic health records.
J. Am. Medical Informatics Assoc., 2019
Genet. Program. Evolvable Mach., 2019
CoRR, 2019
Exploring difference in public perceptions on HPV vaccine between gender groups from Twitter using deep learning.
CoRR, 2019
Proceedings of the Biocomputing 2019: Proceedings of the Pacific Symposium, 2019
ODAL: A one-shot distributed algorithm to perform logistic regressions on electronic health records data from multiple clinical sites.
Proceedings of the Biocomputing 2019: Proceedings of the Pacific Symposium, 2019
Proceedings of the Improving Usability, Safety and Patient Outcomes with Health Information Technology, 2019
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019
2018
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.
J. Am. Medical Informatics Assoc., 2018
How computational thought experiments can improve our understanding of the genetic architecture of common human diseases.
Proceedings of the 2018 Conference on Artificial Life, 2018
Comparing Pharmacovigilance Outcomes Between FAERS and EMR Data for Acute Mania Patients.
Proceedings of the IEEE International Conference on Healthcare Informatics Workshops, 2018
Proceedings of the IEEE International Conference on Data Mining, 2018
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
A Two-Stage Working Model Strategy for Network Analysis Under Hierarchical Exponential Random Graph Models.
Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018
Identification of Rare Adverse Events with Year-varying Reporting Rates for FLU4 Vaccine in VAERS.
Proceedings of the AMIA 2018, 2018
2017
A signal detection method for temporal variation of adverse effect with vaccine adverse event reporting system data.
BMC Medical Informatics Decis. Mak., 2017
SeqCNV: a novel method for identification of copy number variations in targeted next-generation sequencing data.
BMC Bioinform., 2017
pETM: a penalized Exponential Tilt Model for analysis of correlated high-dimensional DNA methylation data.
Bioinform., 2017
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.
Proceedings of the MEDINFO 2017: Precision Healthcare through Informatics, 2017
Proceedings of the Data Mining and Big Data - Second International Conference, 2017
2016
Trivalent influenza vaccine adverse symptoms analysis based on MedDRA terminology using VAERS data in 2011.
J. Biomed. Semant., 2016
An Empirical Study for Impacts of Measurement Errors on EHR based Association Studies.
Proceedings of the AMIA 2016, 2016
2015
Database J. Biol. Databases Curation, 2015
Trivalent Influenza Vaccine Adverse Event Analysis Based On MedDRA System Organ Classes Using VAERS Data.
Proceedings of the MEDINFO 2015: eHealth-enabled Health, 2015
2013
Bioinform., 2013