Novel phenotypic clusters of adult-onset diabetic kidney disease based on static and dynamic clustering algorithms - a data-driven multi-center study

Kun Li, Lingling Wei, Ruili Yin, Miao Xu, Qiubo Zhao, Jing Ke, Longyan Yang

Open source

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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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

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