Interpretable machine learning for multiclass trajectory prediction in cardiovascular-kidney-metabolic syndrome stage: development and external validation

Tian Zhang, Zhenxu Ning, Yangwei Fan, Zhou Zidong, Jingyi Lei, Shuangxing Du, Shuzhen He

Open source

DOI
10.3389/fendo.2026.1907821
Published
2026-09-04
Container
Frontiers in Endocrinology
Publisher
Frontiers Media SA
Open access
unknown

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BibTeX

@article{allodium:10.3389/fendo.2026.1907821,
  title = {Interpretable machine learning for multiclass trajectory prediction in cardiovascular-kidney-metabolic syndrome stage: development and external validation},
  author = {Tian Zhang and Zhenxu Ning and Yangwei Fan and Zhou Zidong and Jingyi Lei and Shuangxing Du and Shuzhen He},
  year = {2026},
  journal = {Frontiers in Endocrinology},
  doi = {10.3389/fendo.2026.1907821},
  url = {https://doi.org/10.3389/fendo.2026.1907821}
}

RIS

TY  - JOUR
TI  - Interpretable machine learning for multiclass trajectory prediction in cardiovascular-kidney-metabolic syndrome stage: development and external validation
AU  - Tian Zhang
AU  - Zhenxu Ning
AU  - Yangwei Fan
AU  - Zhou Zidong
AU  - Jingyi Lei
AU  - Shuangxing Du
AU  - Shuzhen He
PY  - 2026
JO  - Frontiers in Endocrinology
DO  - 10.3389/fendo.2026.1907821
UR  - https://doi.org/10.3389/fendo.2026.1907821
ER  - 

APA

Zhang, T., Ning, Z., Fan, Y., Zidong, Z., Lei, J., Du, S., & He, S. (2026). Interpretable machine learning for multiclass trajectory prediction in cardiovascular-kidney-metabolic syndrome stage: development and external validation. Frontiers in Endocrinology. https://doi.org/10.3389/fendo.2026.1907821

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