Novel phenotypic clusters of adult-onset diabetic kidney disease based on static and dynamic clustering algorithms - a data-driven multi-center study
- DOI
- 10.1186/s12902-026-02412-w
- Published
- 2026-07-11
- Container
- BMC Endocrine Disorders
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1186/s12902-026-02412-w,
title = {Novel phenotypic clusters of adult-onset diabetic kidney disease based on static and dynamic clustering algorithms - a data-driven multi-center study},
author = {Kun Li and Lingling Wei and Ruili Yin and Miao Xu and Qiubo Zhao and Jing Ke and Longyan Yang},
year = {2026},
journal = {BMC Endocrine Disorders},
doi = {10.1186/s12902-026-02412-w},
url = {https://doi.org/10.1186/s12902-026-02412-w}
}RIS
TY - JOUR TI - Novel phenotypic clusters of adult-onset diabetic kidney disease based on static and dynamic clustering algorithms - a data-driven multi-center study AU - Kun Li AU - Lingling Wei AU - Ruili Yin AU - Miao Xu AU - Qiubo Zhao AU - Jing Ke AU - Longyan Yang PY - 2026 JO - BMC Endocrine Disorders DO - 10.1186/s12902-026-02412-w UR - https://doi.org/10.1186/s12902-026-02412-w ER -
APA
Li, K., Wei, L., Yin, R., Xu, M., Zhao, Q., Ke, J., & Yang, L. (2026). Novel phenotypic clusters of adult-onset diabetic kidney disease based on static and dynamic clustering algorithms - a data-driven multi-center study. BMC Endocrine Disorders. https://doi.org/10.1186/s12902-026-02412-w
Source records
- crossref · retrieved 2026-09-25T19:54:26.736Z