Irene Y. Chen

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 19

Top Topics

Artificial Intelligence

Medical Knowledge

Nearest Neighbor Classifier

Streaming Time Series

Top Venues

Publications

Brenda Y. Miao, Christopher Y. K. Williams, Ebenezer Chinedu-Eneh, Travis Zack, Emily Alsentzer, Atul J. Butte, Irene Y. Chen
Identifying Reasons for Contraceptive Switching from Real-World Data Using Large Language Models. CoRR (2024)
Brenda Y. Miao, Irene Y. Chen, Christopher YK Williams, Jaysón M. Davidson, Augusto Garcia-Agundez, Harry Sun, Travis Zack, Atul J. Butte, Madhumita Sushil
Updating the Minimum Information about CLinical Artificial Intelligence (MI-CLAIM) checklist for generative modeling research. CoRR (2024)
Maria Antoniak, Aakanksha Naik, Carla S. Alvarado, Lucy Lu Wang, Irene Y. Chen
NLP for Maternal Healthcare: Perspectives and Guiding Principles in the Age of LLMs. FAccT (2024)
Maria Antoniak, Aakanksha Naik, Carla S. Alvarado, Lucy Lu Wang, Irene Y. Chen
Designing Guiding Principles for NLP for Healthcare: A Case Study of Maternal Health. CoRR (2023)
Hussein Mozannar, Yuria Utsumi, Irene Y. Chen, Stephanie S. Gervasi, Michele Ewing, Aaron Smith-McLallen, David A. Sontag
Closing the Gap in High-Risk Pregnancy Care Using Machine Learning and Human-AI Collaboration. CoRR (2023)
Ayush Jain, Marie-Laure Charpignon, Irene Y. Chen, Anthony Philippakis, Ahmed M. Alaa
Generating Drug Repurposing Hypotheses through the Combination of Disease-Specific Hypergraphs. CoRR (2023)
Antonio Parziale, Monica Agrawal, Shengpu Tang, Kristen Severson, Luis Oala, Adarsh Subbaswamy, Sayantan Kumar, Elora D. M. Schörverth, Stefan Hegselmann, Helen Zhou, Ghada Zamzmi, Purity Mugambi, Elena Sizikova, Girmaw Abebe Tadesse, Yuyin Zhou, Taylor W. Killian, Haoran Zhang, Fahad Kamran, Andrea Hobby, Mars Huang, Ahmed Alaa, Harvineet Singh, Irene Y. Chen, Shalmali Joshi
Machine Learning for Health (ML4H) 2022. ML4H@NeurIPS (2022)
Antonio Parziale, Monica Agrawal, Shalmali Joshi, Irene Y. Chen, Shengpu Tang, Luis Oala, Adarsh Subbaswamy
Machine Learning for Health symposium 2022 - Extended Abstract track. CoRR (2022)
Irene Y. Chen, Rahul G. Krishnan, David A. Sontag
Clustering Interval-Censored Time-Series for Disease Phenotyping. AAAI (2022)
Laleh Seyyed-Kalantari, Guanxiong Liu, Matthew B. A. McDermott, Irene Y. Chen, Marzyeh Ghassemi
CheXclusion: Fairness gaps in deep chest X-ray classifiers. PSB (2021)
Irene Y. Chen, Rahul G. Krishnan, David A. Sontag
Clustering Left-Censored Multivariate Time-Series. CoRR (2021)
Irene Y. Chen, Emily Alsentzer, Hyesun Park, Richard Thomas, Babina Gosangi, Rahul Gujrathi, Bharti Khurana
Intimate Partner Violence and Injury Prediction From Radiology Reports. PSB (2021)
Irene Y. Chen, Emma Pierson, Sherri Rose, Shalmali Joshi, Kadija Ferryman, Marzyeh Ghassemi
Ethical Machine Learning in Health Care. CoRR (2020)
Irene Y. Chen, Monica Agrawal, Steven Horng, David A. Sontag
Robustly Extracting Medical Knowledge from EHRs: A Case Study of Learning a Health KnowledgeGraph. PSB (2020)
Irene Y. Chen, Emily Alsentzer, Hyesun Park, Richard Thomas, Babina Gosangi, Rahul Gujrathi, Bharti Khurana
Intimate Partner Violence and Injury Prediction From Radiology Reports. CoRR (2020)
Irene Y. Chen, Shalmali Joshi, Marzyeh Ghassemi, Rajesh Ranganath
Probabilistic Machine Learning for Healthcare. CoRR (2020)
Irene Y. Chen, Monica Agrawal, Steven Horng, David A. Sontag
Robustly Extracting Medical Knowledge from EHRs: A Case Study of Learning a Health Knowledge Graph. CoRR (2019)
Irene Y. Chen, Fredrik D. Johansson, David A. Sontag
Why Is My Classifier Discriminatory? NeurIPS (2018)
Irene Y. Chen, Fredrik D. Johansson, David A. Sontag
Why Is My Classifier Discriminatory? CoRR (2018)