DGHME: A Hierarchical Hybrid Expert Multi-Task Learning Model for Disease Grouping in Diabetes Complication Prediction.
- DOI
- 10.1109/jbhi.2026.3659609
- Published
- 2026 Aug
- Container
- IEEE journal of biomedical and health informatics
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/jbhi.2026.3659609,
title = {DGHME: A Hierarchical Hybrid Expert Multi-Task Learning Model for Disease Grouping in Diabetes Complication Prediction.},
author = {Tang X and Li H and Han B and Wang C and Xu L and Yu X},
year = {2026},
journal = {IEEE journal of biomedical and health informatics},
doi = {10.1109/jbhi.2026.3659609},
url = {https://doi.org/10.1109/jbhi.2026.3659609}
}RIS
TY - JOUR TI - DGHME: A Hierarchical Hybrid Expert Multi-Task Learning Model for Disease Grouping in Diabetes Complication Prediction. AU - Tang X AU - Li H AU - Han B AU - Wang C AU - Xu L AU - Yu X PY - 2026 JO - IEEE journal of biomedical and health informatics DO - 10.1109/jbhi.2026.3659609 UR - https://doi.org/10.1109/jbhi.2026.3659609 ER -
APA
X, T., H, L., B, H., C, W., L, X., & X, Y. (2026). DGHME: A Hierarchical Hybrid Expert Multi-Task Learning Model for Disease Grouping in Diabetes Complication Prediction.. IEEE journal of biomedical and health informatics. https://doi.org/10.1109/jbhi.2026.3659609
Source records
- pubmed · retrieved 2026-09-26T05:25:11.184Z