Why Is My Classifier Discriminatory? - Irene Y. Chen; Fredrik D. Johansson; David A. Sontag (NeurIPS, 2018)

Robustly Extracting Medical Knowledge from EHRs: A Case Study of Learning a Health Knowledge Graph. - Irene Y. Chen; Monica Agrawal; Steven Horng; David A. Sontag (CoRR, 2019)

Robustly Extracting Medical Knowledge from EHRs: A Case Study of Learning a Health KnowledgeGraph. - Irene Y. Chen; Monica Agrawal; Steven Horng; David A. Sontag (PSB, 2020)

Ethical Machine Learning in Health Care. - Irene Y. Chen; Emma Pierson; Sherri Rose; Shalmali Joshi; Kadija Ferryman; Marzyeh Ghassemi (CoRR, 2020)

Probabilistic Machine Learning for Healthcare. - Irene Y. Chen; Shalmali Joshi; Marzyeh Ghassemi; Rajesh Ranganath (CoRR, 2020)

Intimate Partner Violence and Injury Prediction From Radiology Reports. - Irene Y. Chen; Emily Alsentzer; Hyesun Park; Richard Thomas; Babina Gosangi; Rahul Gujrathi; Bharti Khurana (PSB, 2021)

CheXclusion: Fairness gaps in deep chest X-ray classifiers. - Laleh Seyyed-Kalantari; Guanxiong Liu; Matthew B. A. McDermott; Irene Y. Chen; Marzyeh Ghassemi (PSB, 2021)

Clustering Left-Censored Multivariate Time-Series. - Irene Y. Chen; Rahul G. Krishnan; David A. Sontag (CoRR, 2021)

Clustering Interval-Censored Time-Series for Disease Phenotyping. - Irene Y. Chen; Rahul G. Krishnan; David A. Sontag (AAAI, 2022)

Machine Learning for Health (ML4H) 2022. - Antonio Parziale; Monica Agrawal; Shengpu Tang; Kristen Severson 001; Luis Oala; Adarsh Subbaswamy; Sayantan Kumar; Elora D. M. Schörverth; Stefan Hegselmann; Helen Zhou; Ghada Zamzmi; Purity Mugambi; et al. (ML4H@NeurIPS, 2022)

Machine Learning for Health symposium 2022 - Extended Abstract track. - Antonio Parziale; Monica Agrawal; Shalmali Joshi; Irene Y. Chen; Shengpu Tang; Luis Oala; Adarsh Subbaswamy (CoRR, 2022)

Machine Learning Approaches for Equitable Healthcare - Irene Y. Chen (2022)

Closing the Gap in High-Risk Pregnancy Care Using Machine Learning and Human-AI Collaboration. - Hussein Mozannar; Yuria Utsumi; Irene Y. Chen; Stephanie S. Gervasi; Michele Ewing; Aaron Smith-McLallen; David A. Sontag (CoRR, 2023)

Generating Drug Repurposing Hypotheses through the Combination of Disease-Specific Hypergraphs. - Ayush Jain; Marie-Laure Charpignon; Irene Y. Chen; Anthony Philippakis; Ahmed M. Alaa (CoRR, 2023)

Designing Guiding Principles for NLP for Healthcare: A Case Study of Maternal Health. - Maria Antoniak; Aakanksha Naik; Carla S. Alvarado; Lucy Lu Wang; Irene Y. Chen (CoRR, 2023)

Conference on Health, Inference, and Learning (CHIL) 2024. - Tom J. Pollard; Edward Choi; Pankhuri Singhal; Michael C. Hughes; Elena Sizikova; Bobak Mortazavi; Irene Y. Chen; Fei Wang; Tasmie Sarker; Matthew B. A. McDermott; Marzyeh Ghassemi (CHIL, 2024)

NLP for Maternal Healthcare: Perspectives and Guiding Principles in the Age of LLMs. - Maria Antoniak; Aakanksha Naik; Carla S. Alvarado; Lucy Lu Wang; Irene Y. Chen (FAccT, 2024)

The Data Addition Dilemma. - Judy Hanwen Shen; Inioluwa Deborah Raji; Irene Y. Chen (MLHC, 2024)

Identifying Reasons for Contraceptive Switching from Real-World Data Using Large Language Models. - Brenda Y. Miao; Christopher Y. K. Williams; Ebenezer Chinedu-Eneh; Travis Zack; Emily Alsentzer; Atul J. Butte; Irene Y. Chen (CoRR, 2024)

Updating the Minimum Information about CLinical Artificial Intelligence (MI-CLAIM) checklist for generative modeling research. - Brenda Y. Miao; Irene Y. Chen; Christopher Y. K. Williams; Jaysón M. Davidson; Augusto Garcia-Agundez; Harry Sun; Travis Zack; Atul J. Butte; Madhumita Sushil (CoRR, 2024)

Access to care improves EHR reliability and clinical risk prediction model performance. - Anna Zink; Hongzhou Luan; Irene Y. Chen (CoRR, 2024)

A large language model-based approach to quantifying the effects of social determinants in liver transplant decisions. - Emily Robitschek; Asal Bastani; Kathryn Horwath; Savyon Sordean; Mark J. Pletcher; Jennifer C. Lai; Sergio Galletta; Elliott Ash; Jin Ge; Irene Y. Chen (CoRR, 2024)

Generative AI in Medicine. - Divya Shanmugam; Monica Agrawal; Rajiv Movva; Irene Y. Chen; Marzyeh Ghassemi; Maia Jacobs; Emma Pierson (CoRR, 2024)

Deep Speech Synthesis from Multimodal Articulatory Representations. - Peter Wu; Bohan Yu; Kevin Scheck; Alan W. Black; Aditi S. Krishnapriyan; Irene Y. Chen; Tanja Schultz; Shinji Watanabe 001; Gopala Krishna Anumanchipalli (CoRR, 2024)

Treatment Non-Adherence Bias in Clinical Machine Learning: A Real-World Study on Hypertension Medication. - Zhongyuan Liang; Arvind Suresh; Irene Y. Chen (CHIL, 2025)

Understanding contraceptive switching rationales from real world clinical notes using large language models. - Brenda Y. Miao; Christopher Y. K. Williams; Ebenezer Chinedu-Eneh; Travis Zack; Emily Alsentzer; Atul J. Butte; Irene Y. Chen (npj Digit. Medicine, 2025)

Enhancing Semi-supervised Learning with Noisy Zero-shot Pseudolabels. - Jichan Chung; Irene Y. Chen (CoRR, 2025)

Aggregated Individual Reporting for Post-Deployment Evaluation. - Jessica Dai; Inioluwa Deborah Raji; Benjamin Recht; Irene Y. Chen (CoRR, 2025)