FairMoE-Health: Fairness-Aware Mixture of Experts for Equitable Multimodal Clinical Prediction
- DOI
- 10.1109/jbhi.2026.3733584
- Published
- 2026
- Container
- IEEE Journal of Biomedical and Health Informatics
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/jbhi.2026.3733584,
title = {FairMoE-Health: Fairness-Aware Mixture of Experts for Equitable Multimodal Clinical Prediction},
author = {Xiaoyang Wang and Christopher C. Yang},
year = {2026},
journal = {IEEE Journal of Biomedical and Health Informatics},
doi = {10.1109/jbhi.2026.3733584},
url = {https://doi.org/10.1109/jbhi.2026.3733584}
}RIS
TY - JOUR TI - FairMoE-Health: Fairness-Aware Mixture of Experts for Equitable Multimodal Clinical Prediction AU - Xiaoyang Wang AU - Christopher C. Yang PY - 2026 JO - IEEE Journal of Biomedical and Health Informatics DO - 10.1109/jbhi.2026.3733584 UR - https://doi.org/10.1109/jbhi.2026.3733584 ER -
APA
Wang, X., & Yang, C. C. (2026). FairMoE-Health: Fairness-Aware Mixture of Experts for Equitable Multimodal Clinical Prediction. IEEE Journal of Biomedical and Health Informatics. https://doi.org/10.1109/jbhi.2026.3733584
Source records
- crossref · retrieved 2026-09-25T11:37:42.647Z