A novel flexible activity refinement approach for improving workflow process flexibility. - Yanrong Jiang; Nanfeng Xiao; Yufeng Zhang; Linying Zhang (Comput. Ind., 2016)

Evaluating Reinforcement Learning Algorithms in Observational Health Settings. - Omer Gottesman; Fredrik D. Johansson; Joshua Meier; Jack Dent; Donghun Lee; Srivatsan Srinivasan; Linying Zhang; Yi Ding; David Wihl; Xuefeng Peng; Jiayu Yao; Isaac Lage; et al. (CoRR, 2018)

Investigating female-male differences in risk factors for myocardial infarction using OHDSI tools. - Anna Ostropolets; Linying Zhang; Jami Jackson Mulgrave; George Hripcsak (AMIA, 2019)

Personalized treatment for type 2 diabetes using weighted k-nearest neighbors. - Wenyu Song; Linying Zhang; Emily Gill; Jeremiah Zhe Liu; Adam Wright (AMIA, 2019)

The Medical Deconfounder: Assessing Treatment Effects with Electronic Health Records. - Linying Zhang; Yixin Wang; Anna Ostropolets; Jami J. Mulgrave; David M. Blei; George Hripcsak (MLHC, 2019)

The Medical Deconfounder: Assessing Treatment Effect with Electronic Health Records (EHRs). - Linying Zhang; Yixin Wang; Anna Ostropolets; Jami J. Mulgrave; David M. Blei; George Hripcsak (CoRR, 2019)

Evaluation of Large-scale Propensity Score Modeling and Covariate Balance on Potential Unmeasured Confounding in Observational Research. - Ruijun Chen; Martijn J. Schuemie; Marc A. Suchard; Anna Ostropolets; Linying Zhang; Patrick B. Ryan; George Hripcsak (AMIA, 2020)

Causal Inference from Observational Healthcare Data: Implications, Impacts and Innovations. - George Hripcsak; David M. Blei; Elias Bareinboim; Martijn J. Schuemie; Linying Zhang (AMIA, 2020)

Predicting Pressure Injury Using Nursing Assessment Phenotype and Machine Learning Methods. - Wenyu Song; Min-Jeoung Kang; Linying Zhang; Jose P. Garcia; David W. Bates; Patricia C. Dykes (AMIA, 2020)

The Multi-Outcome Medical Deconfounder: Assessing Treatment Effect on Multiple Renal Measures. - Linying Zhang; Yixin Wang; Anna Ostropolets; Ruijun Chen; David M. Blei; George Hripcsak (AMIA, 2020)

A scoping review of clinical decision support tools that generate new knowledge to support decision making in real time. - Anna Ostropolets; Linying Zhang; George Hripcsak (J. Am. Medical Informatics Assoc., 2020)

Predicting Hospitalization of COVID-19 Positive Patients Using Machine Learning Methods. - Wenyu Song; Linying Zhang; Michael Sainlaire; Mehran Karvar; Min-Jeoung Kang; Avery Pullman; Anthony F. Massaro; Namrata Patil; Ravi Jasuja; Patricia C. Dykes (AMIA, 2021)

Predicting pressure injury using nursing assessment phenotypes and machine learning methods. - Wenyu Song; Min-Jeoung Kang; Linying Zhang; Wonkyung Jung; Jiyoun Song; David W. Bates; Patricia C. Dykes (J. Am. Medical Informatics Assoc., 2021)

Using Data Assimilation to Predict Post-Operative Bariatric Surgery Glycemic Status in Adolescents. - Lauren R. Richter; Benjamin Albert; Linying Zhang; Ilene Fennoy; David J. Albers; George Hripcsak (AMIA, 2022)

Using EHR Data and Machine Learning Methods to Predict Fall Injury. - Wenyu Song; Luwei Liu; Hannah Rice; Michael Sainlaire; Lillian Min; Linying Zhang; Tien Thai; Min-Jeoung Kang; Mica Curtin-Bowen; Stuart R. Lipsitz; Lipika Samal; Nancy Latham; et al. (AMIA, 2022)

A Bayesian Causal Inference Approach for Assessing Fairness in Clinical Decision-Making. - Linying Zhang; Lauren R. Richter; Yixin Wang; Anna Ostropolets; Noemie Elhadad; David M. Blei; George Hripcsak (CoRR, 2022)

Predicting hospitalization of COVID-19 positive patients using clinician-guided machine learning methods. - Wenyu Song; Linying Zhang; Luwei Liu; Michael Sainlaire; Mehran Karvar; Min-Jeoung Kang; Avery Pullman; Stuart R. Lipsitz; Anthony F. Massaro; Namrata Patil; Ravi Jasuja; Patricia C. Dykes (J. Am. Medical Informatics Assoc., 2022)

Adjusting for indirectly measured confounding using large-scale propensity score. - Linying Zhang; Yixin Wang; Martijn J. Schuemie; David M. Blei; George Hripcsak (J. Biomed. Informatics, 2022)

GLKE: Global-Local Knowledge Enhanced Text Matching Model. - Qiuxian Chen; Linying Zhang (AIPR, 2023)

Multi-Round Reasoning Incorporating Prior Knowledge in Conversational Sentiment Analysis. - Linying Zhang; Xiao Yang; Qiuxian Chen (AIPR, 2023)

Reproducible variability: assessing investigator discordance across 9 research teams attempting to reproduce the same observational study. - Anna Ostropolets; Yasser Albogami; Mitchell Conover; Juan M. Banda; William A. Baumgartner Jr.; Clair Blacketer; Priyamvada Desai; Scott L. DuVall; Stephen P. Fortin; James P. Gilbert; Asieh Golozar; Joshua Ide; et al. (J. Am. Medical Informatics Assoc., 2023)

CEHR-GPT: Generating Electronic Health Records with Chronological Patient Timelines. - Chao Pang; Xinzhuo Jiang; Nishanth Parameshwar Pavinkurve; Krishna S. Kalluri; Elise L. Minto; Jason Patterson; Linying Zhang; George Hripcsak; Noémie Elhadad; Karthik Natarajan (CoRR, 2024)

Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium. - Hyewon Jeong; Sarah Jabbour; Yuzhe Yang 003; Rahul Thapa; Hussein Mozannar; William Jongwon Han; Nikita Mehandru; Michael Wornow; Vladislav Lialin; Xin Liu 034; Alejandro Lozano; Jiacheng Zhu; et al. (CoRR, 2024)

Causal fairness assessment of treatment allocation with electronic health records. - Linying Zhang; Lauren R. Richter; Yixin Wang; Anna Ostropolets; Noémie Elhadad; David M. Blei; George Hripcsak (J. Biomed. Informatics, 2024)

Semi-Supervised Transfer Learning Framework for Aging-Aware Library Characterization. - Zhengguang Tang; Cong Li; Hailong You; Zhixiong Di; Linying Zhang; Xingming Liu; Yu Wang; Yong Dai; Geng Bai (IEEE Trans. Circuits Syst. II Express Briefs, 2024)

Shape-informed surrogate models based on signed distance function domain encoding. - Linying Zhang; Stefano Pagani; Jun Zhang 016; Francesco Regazzoni 002 (J. Comput. Phys., 2025)