publications

2024

1. 

   Identifying Reasons for Contraceptive Switching from Real-World Data Using Large Language Models

   Brenda Y Miao, Christopher YK Williams, Ebenezer Chinedu-Eneh, and 4 more authors

   arXiv preprint arXiv:2402.03597, 2024

2. 

   NLP for Maternal Healthcare: Perspectives and Guiding Principles in the Age of LLMs

   Maria Antoniak, Aakanksha Naik, Carla S Alvarado, and 2 more authors

   FAccT, 2024

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2023

1. 

   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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2. 

   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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3. 

   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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2022

1. 

   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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2. 

   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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3. 

   Machine Learning Approaches for Equitable Healthcare

   Irene Y Chen

   Massachusetts Institute of Technology, 2022

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2021

1. 

   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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2. 

   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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3. 

   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

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2020

1. 

   Treating health disparities with artificial intelligence

   Irene Y Chen, Shalmali Joshi, and Marzyeh Ghassemi

   Nature medicine, 2020

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2. 

   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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3. 

   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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4. 

   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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5. 

   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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6. 

   Ethical Machine Learning in Health

   Irene Y Chen, Emma Pierson, Sherri Rose, and 3 more authors

   Annual Review of Biomedical Data Science 4, 2020

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2019

1. 

   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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2. 

   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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3. 

   We should treat algorithms like prescription drugs

   Andy Coravos, Irene Chen, Ankit Gordhandas, and 1 more author

   2019

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4. 

   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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5. 

   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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6. 

   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

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2018

1. 

   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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2. 

   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

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