Development and internal validation of a machine-learning-based risk identification model for diabetic kidney disease in patients with type 2 diabetes.
- DOI
- 10.3389/fendo.2026.1888060
- Published
- 2026
- Container
- Frontiers in endocrinology
- Publisher
- Not recorded
- Open access
- yes
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limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.3389/fendo.2026.1888060,
title = {Development and internal validation of a machine-learning-based risk identification model for diabetic kidney disease in patients with type 2 diabetes.},
author = {Luo J and Chen G and Yang J},
year = {2026},
journal = {Frontiers in endocrinology},
doi = {10.3389/fendo.2026.1888060},
url = {https://doi.org/10.3389/fendo.2026.1888060}
}RIS
TY - JOUR TI - Development and internal validation of a machine-learning-based risk identification model for diabetic kidney disease in patients with type 2 diabetes. AU - Luo J AU - Chen G AU - Yang J PY - 2026 JO - Frontiers in endocrinology DO - 10.3389/fendo.2026.1888060 UR - https://doi.org/10.3389/fendo.2026.1888060 ER -
APA
J, L., G, C., & J, Y. (2026). Development and internal validation of a machine-learning-based risk identification model for diabetic kidney disease in patients with type 2 diabetes.. Frontiers in endocrinology. https://doi.org/10.3389/fendo.2026.1888060
Source records
- pubmed · retrieved 2026-09-27T07:02:58.245Z