publications

2023

  1. lupus.jpg
    Machine learning identifies clusters of longitudinal autoantibody profiles predictive of systemic lupus erythematosus disease outcomes
    May Yee Choi, Irene Y Chen, Ann Elaine Clarke, and 8 more authors
    Annals of the Rheumatic Diseases, 2023
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    Closing the Gap in High-Risk Pregnancy Care Using Machine Learning and Human-AI Collaboration
    Hussein Mozannar, Yuria Utsumi, Irene Y Chen, and 4 more authors
    arXiv preprint arXiv:2305.17261, 2023
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    Generating Drug Repurposing Hypotheses through the Combination of Disease-Specific Hypergraphs
    Ayush Jain, Marie Laure-Charpignon, Irene Y Chen, and 2 more authors
    arXiv preprint arXiv:2311.09596, 2023
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    Designing Guiding Principles for NLP for Healthcare: A Case Study of Maternal Health
    Maria Antoniak, Aakanksha Naik, Carla S Alvarado, and 2 more authors
    arXiv preprint arXiv:2312.11803, 2023

2022

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    The Potential For Bias In Machine Learning And Opportunities For Health Insurers To Address It
    Stephanie S Gervasi, Irene Y Chen, Aaron Smith-McLallen, and 4 more authors
    Health Affairs, 2022
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    Clustering Interval-Censored Time-Series for Disease Phenotyping
    Irene Y Chen, Rahul G Krishnan, and David Sontag
    In Proceedings of the AAAI Conference on Artificial Intelligence, 2022
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    Machine Learning Approaches for Equitable Healthcare
    Irene Y Chen
    Massachusetts Institute of Technology, 2022

2021

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    Recognizing isolated ulnar fractures as potential markers for intimate partner violence
    Bharti Khurana, David Sing, Rahul Gujrathi, and 8 more authors
    Journal of the American College of Radiology, 2021
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    Longitudinal imaging history in early identification of intimate partner violence
    Hyesun Park, Rahul Gujrathi, Babina Gosangi, and 8 more authors
    European radiology, 2021
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    Underdiagnosis bias of artificial intelligence algorithms applied to chest radiographs in under-served patient populations
    Laleh Seyyed-Kalantari, Haoran Zhang, Matthew BA McDermott, and 2 more authors
    Nature medicine, 2021

2020

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    Treating health disparities with artificial intelligence
    Irene Y Chen, Shalmali Joshi, and Marzyeh Ghassemi
    Nature medicine, 2020
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    A review of challenges and opportunities in machine learning for health
    Marzyeh Ghassemi, Tristan Naumann, Peter Schulam, and 3 more authors
    AMIA Summits on Translational Science Proceedings, 2020
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    Intimate Partner Violence and Injury Prediction From Radiology Reports
    Irene Y Chen, Emily Alsentzer, Hyesun Park, and 4 more authors
    In Pacific Symposium of Biocomputing 2021, 2020
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    Probabilistic Machine Learning for Healthcare
    Irene Y Chen, Shalmali Joshi, Marzyeh Ghassemi, and 1 more author
    Annual Review of Biomedical Data Science, 2020
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    CheXclusion: Fairness gaps in deep chest X-ray classifiers
    Laleh Seyyed-Kalantari, Guanxiong Liu, Matthew McDermott, and 2 more authors
    In Pacific Symposium of Biocomputing 2021, 2020
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    Ethical Machine Learning in Health
    Irene Y Chen, Emma Pierson, Sherri Rose, and 3 more authors
    Annual Review of Biomedical Data Science 4, 2020

2019

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    Can AI Help Reduce Disparities in General Medical and Mental Health Care?
    Irene Y Chen, Peter Szolovits, and Marzyeh Ghassemi
    AMA Journal of Ethics, 2019
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    Practical guidance on artificial intelligence for health-care data
    Marzyeh Ghassemi, Tristan Naumann, Peter Schulam, and 3 more authors
    The Lancet Digital Health, 2019
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    We should treat algorithms like prescription drugs
    Andy Coravos, Irene Chen, Ankit Gordhandas, and 1 more author
    2019
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    Turning the crank for machine learning: ease, at what expense?
    Tom J Pollard, Irene Chen, Jenna Wiens, and 6 more authors
    The Lancet Digital Health, 2019
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    Robustly Extracting Medical Knowledge from EHRs: A Case Study of Learning a Health Knowledge Graph
    Irene Y Chen, Monica Agrawal, Steven Horng, and 1 more author
    In Pacific Symposium of Biocomputing 2020, 2019
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    Trends and focus of machine learning applications for health research
    Brett Beaulieu-Jones, Samuel G Finlayson, Corey Chivers, and 7 more authors
    JAMA network open, 2019

2018

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    Why Is My Classifier Discriminatory?
    Irene Y Chen, Fredrik D Johansson, and David Sontag
    In Neural Information Processing Systems (NeurIPS) 2018, 2018
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    Machine learning for health (ML4H) workshop at NeurIPS 2018
    Natalia Antropova, Andrew L Beam, Brett K Beaulieu-Jones, and 8 more authors
    In Workshop proceedings, 2018