Learning Clinical Workflows to Identify Subgroups of Heart Failure Patients. - Chao Yan 004; You Chen 001; Bo Li 026; David M. Liebovitz; Bradley A. Malin (AMIA, 2016)

A Game-Theoretic Approach for Alert Prioritization. - Aron Laszka; Yevgeniy Vorobeychik; Daniel Fabbri; Chao Yan 004; Bradley A. Malin (AAAI Workshops, 2017)

Evaluating the Effectiveness of Auditing Rules for Electronic Health Record Systems. - Monica Hedda; Bradley A. Malin; Chao Yan 004; Daniel Fabbri (AMIA, 2017)

Mining the Best Observational Window to Model Social Phenomena. - Chao Yan 004; Zhijun Yin; Stanley Xiang; You Chen 001; Yevgeniy Vorobeychik; Daniel Fabbri; Abel N. Kho; David M. Liebovitz; Bradley A. Malin (CIC, 2018)

Get Your Workload in Order: Game Theoretic Prioritization of Database Auditing. - Chao Yan 004; Bo Li 026; Yevgeniy Vorobeychik; Aron Laszka; Daniel Fabbri; Bradley A. Malin (ICDE, 2018)

Corpus Size Influences Clinical Concept Embeddings. - Cheng Gao; Chao Yan 004; Bradley A. Malin; You Chen 001 (AMIA, 2019)

Biomedical Research Cohort Membership Disclosure on Social Media. - Yongtai Liu; Chao Yan 004; Zhijun Yin; Zhiyu Wan; Weiyi Xia; Murat Kantarcioglu; Yevgeniy Vorobeychik; Ellen Wright Clayton; Bradley A. Malin (AMIA, 2019)

A Deep Learning Approach to Predict Neonatal Encephalopathy from Electronic Health Records. - Cheng Gao; Chao Yan 004; Sarah Osmundson; Bradley A. Malin; You Chen 001 (ICHI, 2019)

Deep Imputation of Temporal Data. - Chao Yan 004; Cheng Gao; Xinmeng Zhang; You Chen 001; Bradley A. Malin (ICHI, 2019)

XGBoost Imputation for Time Series Data. - Xinmeng Zhang; Chao Yan 004; Cheng Gao; Bradley A. Malin; You Chen 001 (ICHI, 2019)

Database Audit Workload Prioritization via Game Theory. - Chao Yan 004; Bo Li 026; Yevgeniy Vorobeychik; Aron Laszka; Daniel Fabbri; Bradley A. Malin (ACM Trans. Priv. Secur., 2019)

Finding Needles in a Moving Haystack: Prioritizing Alerts with Adversarial Reinforcement Learning. - Liang Tong; Aron Laszka; Chao Yan 004; Ning Zhang 017; Yevgeniy Vorobeychik (AAAI, 2020)

Generating Electronic Health Records with Multiple Data Types and Constraints. - Chao Yan 004; Ziqi Zhang 005; Steve Nyemba; Bradley A. Malin (AMIA, 2020)

To Warn or Not to Warn: Online Signaling in Audit Games. - Chao Yan 004; Haifeng Xu; Yevgeniy Vorobeychik; Bo Li 026; Daniel Fabbri; Bradley A. Malin (ICDE, 2020)

Ensuring electronic medical record simulation through better training, modeling, and evaluation. - Ziqi Zhang 005; Chao Yan 004; Diego A. Mesa; Jimeng Sun 001; Bradley A. Malin (J. Am. Medical Informatics Assoc., 2020)

Predicting Missing Values in Medical Data Via XGBoost Regression. - Xinmeng Zhang; Chao Yan 004; Cheng Gao; Bradley A. Malin; You Chen 001 (J. Heal. Informatics Res., 2020)

Synthetic Data to Support Engineering and Demonstrations in the All of Us Research Program. - Chao Yan 004; Steve Nyemba; Kelsey R. Mayo; Ziqi Zhang 005; Francis Ratsimbazafy; Bradley A. Malin (AMIA, 2021)

Predicting Next-Day Discharge via Electronic Health Record Audit Logs. - Xinmeng Zhang; Chao Yan 004; Mayur B. Patel; Bradley A. Malin; You Chen 001 (AMIA, 2021)

CCF-CL: Forecasting the Clinical Status of a Patient Through Contrastive Learning. - Ziqi Zhang 005; Chao Yan 004; Xinmeng Zhang; Steve Nyemba; Bradley A. Malin (AMIA, 2021)

Blending Knowledge in Deep Recurrent Networks for Adverse Event Prediction at Hospital Discharge. - Prithwish Chakraborty; James V. Codella; Piyush Madan; Ying Li 053; Hu Huang 004; Yoonyoung Park; Chao Yan 004; Ziqi Zhang 005; Cheng Gao; Steve Nyemba; Xu Min; Sanjib Basak; et al. (CoRR, 2021)

Dynamically Adjusting Case-Reporting Policy to Maximize Privacy and Utility in the Face of a Pandemic. - J. Thomas Brown; Chao Yan 004; Weiyi Xia; Zhijun Yin; Zhiyu Wan; Aris Gkoulalas-Divanis; Murat Kantarcioglu; Bradley A. Malin (CoRR, 2021)

Predicting brain function status changes in critically ill patients via Machine learning. - Chao Yan 004; Cheng Gao; Ziqi Zhang 005; Wencong Chen; Bradley A. Malin; Eugene Wesley Ely; Mayur B. Patel; You Chen 001 (J. Am. Medical Informatics Assoc., 2021)

SynTEG: a framework for temporal structured electronic health data simulation. - Ziqi Zhang 005; Chao Yan 004; Thomas A. Lasko; Jimeng Sun 001; Bradley A. Malin (J. Am. Medical Informatics Assoc., 2021)

Predicting next-day discharge via electronic health record access logs. - Xinmeng Zhang; Chao Yan 004; Bradley A. Malin; Mayur B. Patel; You Chen 001 (J. Am. Medical Informatics Assoc., 2021)

Assessing Machine Learning Based Generators for Synthetic Electronic Health Records: A Benchmarking. - Chao Yan 004; Yao Yan; Ziqi Zhang 005; Zhiyu Wan; Justin Guinney; Sean D. Mooney; Bradley A. Malin (AMIA, 2022)

Privacy-Preserving Publishing of Individual-Level Pandemic Data Based on a Game Theoretic Model. - Abinitha Gourabathina; Zhiyu Wan; J. Thomas Brown; Chao Yan 004; Bradley A. Malin (BIBM, 2022)

How Adversarial Assumptions Influence Re-identification Risk Measures: A COVID-19 Case Study. - Xinmeng Zhang; Zhiyu Wan; Chao Yan 004; J. Thomas Brown; Weiyi Xia; Aris Gkoulalas-Divanis; Murat Kantarcioglu; Bradley A. Malin (PSD, 2022)

Distillation to Enhance the Portability of Risk Models Across Institutions with Large Patient Claims Database. - Steve Nyemba; Chao Yan 004; Ziqi Zhang 005; Amol Rajmane; Pablo Meyer 001; Prithwish Chakraborty; Bradley A. Malin (CoRR, 2022)

A Multifaceted Benchmarking of Synthetic Electronic Health Record Generation Models. - Chao Yan 004; Yao Yan; Zhiyu Wan; Ziqi Zhang 005; Larsson Omberg; Justin Guinney; Sean D. Mooney; Bradley A. Malin (CoRR, 2022)

Towards risk-aware artificial intelligence and machine learning systems: An overview. - Xiaoge Zhang 001; Felix T. S. Chan; Chao Yan 004; Indranil Bose (Decis. Support Syst., 2022)

Dynamically adjusting case reporting policy to maximize privacy and public health utility in the face of a pandemic. - J. Thomas Brown; Chao Yan 004; Weiyi Xia; Zhijun Yin; Zhiyu Wan; Aris Gkoulalas-Divanis; Murat Kantarcioglu; Bradley A. Malin (J. Am. Medical Informatics Assoc., 2022)

Keeping synthetic patients on track: feedback mechanisms to mitigate performance drift in longitudinal health data simulation. - Ziqi Zhang 005; Chao Yan 004; Bradley A. Malin (J. Am. Medical Informatics Assoc., 2022)

Forecasting the future clinical events of a patient through contrastive learning. - Ziqi Zhang 005; Chao Yan 004; Xinmeng Zhang; Steve Nyemba; Bradley A. Malin (J. Am. Medical Informatics Assoc., 2022)

Membership inference attacks against synthetic health data. - Ziqi Zhang 005; Chao Yan 004; Bradley A. Malin (J. Biomed. Informatics, 2022)

A Comprehensive Study on Text-attributed Graphs: Benchmarking and Rethinking. - Hao Yan 004; Chaozhuo Li; Ruosong Long; Chao Yan 004; Jianan Zhao 002; Wenwen Zhuang; Jun Yin 005; Peiyan Zhang; Weihao Han; Hao Sun 015; Weiwei Deng; Qi Zhang 066; et al. (NeurIPS, 2023)

Split Learning for Distributed Collaborative Training of Deep Learning Models in Health Informatics. - Zhuohang Li; Chao Yan 004; Xinmeng Zhang; Gharib Gharibi; Zhijun Yin; Xiaoqian Jiang; Bradley A. Malin (CoRR, 2023)

Do You Know What You Are Talking About? Characterizing Query-Knowledge Relevance For Reliable Retrieval Augmented Generation. - Zhuohang Li; Jiaxin Zhang 005; Chao Yan 004; Kamalika Das; Kumar Sricharan; Murat Kantarcioglu; Bradley A. Malin (EMNLP, 2024)

Evaluating site-of-care-related racial disparities in kidney graft failure using a novel federated learning framework. - Jiayi Tong; Yishan Shen; Alice Xu; Xing He 003; Chongliang Luo; Mackenzie J. Edmondson; Dazheng Zhang; Yiwen Lu; Chao Yan 004; Ruowang Li; Lianne Siegel; Lichao Sun 001; et al. (J. Am. Medical Informatics Assoc., 2024)

Large language models facilitate the generation of electronic health record phenotyping algorithms. - Chao Yan 004; Henry H. Ong; Monika E. Grabowska; Matthew S. Krantz; Wu-Chen Su; Alyson L. Dickson; Josh F. Peterson; QiPing Feng; Dan M. Roden; C. Michael Stein; Vern Eric Kerchberger; Bradley A. Malin; et al. (J. Am. Medical Informatics Assoc., 2024)

Leveraging generative AI to prioritize drug repurposing candidates for Alzheimer's disease with real-world clinical validation. - Chao Yan 004; Monika E. Grabowska; Alyson L. Dickson; Bingshan Li; Zhexing Wen; Dan M. Roden; C. Michael Stein; Peter J. Embí; Josh F. Peterson; QiPing Feng; Bradley A. Malin; Wei-Qi Wei (npj Digit. Medicine, 2024)

Large language models are less effective at clinical prediction tasks than locally trained machine learning models. - Katherine E. Brown; Chao Yan 004; Zhuohang Li; Xinmeng Zhang; Benjamin X. Collins; You Chen 001; Ellen Wright Clayton; Murat Kantarcioglu; Yevgeniy Vorobeychik; Bradley A. Malin (J. Am. Medical Informatics Assoc., 2025)

Beyond Phecodes: leveraging PheMAP to identify patients lacking diagnosis codes in electronic health records. - Chao Yan 004; Monika E. Grabowska; Rut Thakkar; Alyson L. Dickson; Peter J. Embí; QiPing Feng; Joshua C. Denny; Vern Eric Kerchberger; Bradley A. Malin; Wei-Qi Wei (J. Am. Medical Informatics Assoc., 2025)

COLA-GLM: collaborative one-shot and lossless algorithms of generalized linear models for decentralized observational healthcare data. - Qiong Wu; Jenna Marie Reps; Lu Li; Bingyu Zhang; Yiwen Lu; Jiayi Tong; Dazheng Zhang; Thomas Lumley; Milou T. Brand; Mui Van Zandt; Thomas Falconer; Xing He 003; et al. (npj Digit. Medicine, 2025)

Implementing Trust in Non-Small Cell Lung Cancer Diagnosis with a Conformalized Uncertainty-Aware AI Framework in Whole-Slide Images. - Xiaoge Zhang 001; Tao Wang; Chao Yan 004; Fedaa Najdawi; Kai Zhou 001; Yuan Ma; Yiu-ming Cheung; Bradley A. Malin (CoRR, 2025)

Towards Statistical Factuality Guarantee for Large Vision-Language Models. - Zhuohang Li; Chao Yan 004; Nicholas J. Jackson; Wendi Cui; Bo Li 026; Jiaxin Zhang 005; Bradley A. Malin (CoRR, 2025)

A Consensus Privacy Metrics Framework for Synthetic Data. - Lisa Pilgram; Fida K. Dankar; Jörg Drechsler; Mark Elliot; Josep Domingo-Ferrer; Paul Francis; Murat Kantarcioglu; Linglong Kong; Bradley A. Malin; Krishnamurty Muralidhar; Puja Myles; Fabian Prasser; et al. (CoRR, 2025)

Role and Use of Race in AI/ML Models Related to Health. - Martin C. Were; Ang Li; Bradley A. Malin; Zhijun Yin; Joseph R. Coco; Benjamin X. Collins; Ellen Wright Clayton; Laurie L. Novak; Rachele Hendricks-Sturrup; Abiodun Oluyomi; Shilo Anders; Chao Yan 004 (CoRR, 2025)