publications

2024

2024

  1. cai2024similar.png
    Similar Risk of Kidney Failure among Patients with Blinding Diseases Who Receive Ranibizumab, Aflibercept, and Bevacizumab: An OHDSI Network Study
    Cindy X. Cai, Akihiko Nishimura, Mary G. Bowring, Erik Westlund, Diep Tran, Jia H. Ng, Paul Nagy, Michael Cook, Jody-Ann McLeggon, Scott L. DuVall, and 27 more authors
    Ophthalmology Retina, 2024
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  2. jeong2024recent.png
    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, Rahul Thapta, Hussein Mozannar, William Jongwon Han, Nikita Mehandru, Michael Wornow, Vladislav Lialin, Xin Liu, and 33 more authors
    Apr 2024
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  3. pang2024cehrgpt.png
    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, and Karthik Natarajan
    Feb 2024
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    Improved Accuracy and Efficiency of Primary Care Fall Risk Screening of Older Adults Using a Machine Learning Approach
    Wenyu Song, Nancy K. Latham, Luwei Liu, Hannah E. Rice, Michael Sainlaire, Lillian Min, Linying Zhang, Tien Thai, Min-Jeoung Kang, Siyun Li, and 9 more authors
    Journal of the American Geriatrics Society, Feb 2024
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  5. zhang2024evaluating.png
    Evaluating and Improving the Performance and Racial Fairness of Algorithms for GFR Estimation
    Linying Zhang, Lauren R. Richter, Tevin Kim, and George Hripcsak
    Jan 2024
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  6. zhang2024causal.png
    Causal Fairness Assessment of Treatment Allocation with Electronic Health Records
    Linying Zhang, Lauren R. Richter, Yixin Wang, Anna Ostropolets, Noemie Elhadad, David M. Blei, and George Hripcsak
    Jan 2024
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2023

2023

  1. ostropolets2023reproducible.png
    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, Clair Blacketer, Priyamvada Desai, Scott L DuVall, Stephen Fortin, James P Gilbert, and 28 more authors
    Journal of the American Medical Informatics Association, Jan 2023
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    Evaluating Confounding Adjustment When Sample Size Is Small
    Martijn Schuemie, Marc A Suchard, Akihiko Nishimura, Linying Zhang, and George Hripcsak
    In OHDSI Global Symposium, Jan 2023
    PDF Poster

2022

2022

  1. richter2022data.png
    Data Assimilation on Mechanistic Models of Glucose Metabolism Predicts Glycemic States in Adolescents Following Bariatric Surgery
    Lauren R. Richter, Benjamin I. Albert, Linying Zhang, Anna Ostropolets, Jeffrey L. Zitsman, Ilene Fennoy, David J. Albers, and George Hripcsak
    Frontiers in Physiology, Jan 2022
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    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 Lipsitz, Anthony Massaro, Namrata Patil, and 2 more authors
    Journal of the American Medical Informatics Association, Jan 2022
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  3. zhang2022adjusting.png
    Adjusting for Indirectly Measured Confounding Using Large-Scale Propensity Score
    Linying Zhang, Yixin Wang, Martijn J. Schuemie, David M. Blei, and George Hripcsak
    Journal of Biomedical Informatics, Jan 2022
    PDF

2021

2021

  1. song2021predicting.png
    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, and Patricia C Dykes
    Journal of the American Medical Informatics Association, Jan 2021
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2020

2020

  1. ostropolets2020characterizing.png
    Characterizing Physicians’ Information Needs Related to a Gap in Knowledge Unmet by Current Evidence
    Anna Ostropolets, RuiJun Chen, Linying Zhang, and George Hripcsak
    JAMIA Open, Jan 2020
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  2. ostropolets2020scoping.png
    A Scoping Review of Clinical Decision Support Tools That Generate New Knowledge to Support Decision Making in Real Time
    Anna Ostropolets, Linying Zhang, and George Hripcsak
    Journal of the American Medical Informatics Association, Jan 2020
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2019

2019

  1. zhang2019medical.png
    The Medical Deconfounder: Assessing Treatment Effects with Electronic Health Records
    Linying Zhang, Yixin Wang, Anna Ostropolets, Jami J. Mulgrave, David M. Blei, and George Hripcsak
    In Proceedings of the 4th Machine Learning for Healthcare Conference, Jan 2019
    PDF

2018

2018

  1. gottesman2018evaluating.png
    Evaluating Reinforcement Learning Algorithms in Observational Health Settings
    Omer Gottesman, Fredrik Johansson, Joshua Meier, Jack Dent, Donghun Lee, Srivatsan Srinivasan, Linying Zhang, Yi Ding, David Wihl, Xuefeng Peng, and 10 more authors
    Jan 2018
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