Irene Y. Chen

Orcid: 0000-0003-0173-9133

Affiliations:
  • Massachusetts Institute of Technology, USA


According to our database1, Irene Y. Chen authored at least 23 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Legend:

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In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2024
Deep Speech Synthesis from Multimodal Articulatory Representations.
CoRR, 2024

Generative AI in Medicine.
CoRR, 2024

A large language model-based approach to quantifying the effects of social determinants in liver transplant decisions.
CoRR, 2024

Access to care improves EHR reliability and clinical risk prediction model performance.
CoRR, 2024

The Data Addition Dilemma.
CoRR, 2024

Updating the Minimum Information about CLinical Artificial Intelligence (MI-CLAIM) checklist for generative modeling research.
CoRR, 2024

Identifying Reasons for Contraceptive Switching from Real-World Data Using Large Language Models.
CoRR, 2024

NLP for Maternal Healthcare: Perspectives and Guiding Principles in the Age of LLMs.
Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024

2023
Designing Guiding Principles for NLP for Healthcare: A Case Study of Maternal Health.
CoRR, 2023

Generating Drug Repurposing Hypotheses through the Combination of Disease-Specific Hypergraphs.
CoRR, 2023

Closing the Gap in High-Risk Pregnancy Care Using Machine Learning and Human-AI Collaboration.
CoRR, 2023

2022
Machine Learning Approaches for Equitable Healthcare
PhD thesis, 2022

Machine Learning for Health symposium 2022 - Extended Abstract track.
CoRR, 2022


Clustering Interval-Censored Time-Series for Disease Phenotyping.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Clustering Left-Censored Multivariate Time-Series.
CoRR, 2021

CheXclusion: Fairness gaps in deep chest X-ray classifiers.
Proceedings of the Biocomputing 2021: Proceedings of the Pacific Symposium, 2021

Intimate Partner Violence and Injury Prediction From Radiology Reports.
Proceedings of the Biocomputing 2021: Proceedings of the Pacific Symposium, 2021

2020
Probabilistic Machine Learning for Healthcare.
CoRR, 2020

Ethical Machine Learning in Health Care.
CoRR, 2020

Robustly Extracting Medical Knowledge from EHRs: A Case Study of Learning a Health KnowledgeGraph.
Proceedings of the Pacific Symposium on Biocomputing 2020, 2020

2019
Robustly Extracting Medical Knowledge from EHRs: A Case Study of Learning a Health Knowledge Graph.
CoRR, 2019

2018
Why Is My Classifier Discriminatory?
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018


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