Transport-based transfer learning on Electronic Health Records: application to detection of treatment disparities
By leveraging tools from OT theory, our proposed framework allows to compare statistical models on EHR data between different population groups. As a potential application for clinical decision making, we quantify treatment disparities between different population groups. Future directions include applying OTTEHR to broader regression and classification tasks and extending the method to semi-supervised learning.
Authors
- Khanh Dao Duc (ORCID: https://orcid.org/0000-0002-9685-5171)
- Saad Bin Ahmed (ORCID: https://orcid.org/0000-0002-0631-9368)
- Yongjin Park (ORCID: https://orcid.org/0000-0001-8915-2876)
- Wanxin Li (ORCID: https://orcid.org/0000-0001-7513-7368)
Institutions
- Vancouver Coastal Health (CA)
- University of British Columbia (CA)
- Provincial Health Services Authority (CA)
Publication Details
- Journal
- Journal of the American Medical Informatics Association
- Published
- 2025-08-08
- DOI
- https://doi.org/10.1093/jamia/ocaf134
- Citations
- 1
- Primary Topic
- Machine Learning in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 2.48