Heterogeneous Covariates-Aware Pseudo Supervised Meta-Learning for Few-Shot Diabetes Classification
The approach offers an effective strategy for diabetes classification tasks with incomplete and limited labeled data.
Authors
- Deheng Cai (ORCID: https://orcid.org/0000-0003-3444-0621)
- Linong Ji (ORCID: https://orcid.org/0000-0003-1305-1598)
- Dawei Shi (ORCID: https://orcid.org/0000-0002-3480-7502)
- Wei Liu (ORCID: https://orcid.org/0000-0001-5163-9742)
- Ke Yao (ORCID: https://orcid.org/0000-0002-6764-7365)
- Qian Yang (ORCID: https://orcid.org/0000-0003-0642-2872)
- Lei Wang (ORCID: https://orcid.org/0009-0006-8680-3737)
Institutions
- Beijing Institute of Technology (CN)
- Peking University (CN)
- Institute of Electronics (CN)
- Peking University People's Hospital (CN)
Publication Details
- Journal
- IEEE Transactions on Computational Biology and Bioinformatics
- Published
- 2025-09-16
- DOI
- https://doi.org/10.1109/tcbbio.2025.3610741
- Primary Topic
- Artificial Intelligence in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 0.00