Machine Learning Models to Predict the Risk of Rapidly Progressive Kidney Disease and the Need for Nephrology Referral in Adult Patients with Type 2 Diabetes

Early detection of rapidly progressive kidney disease is key to improving the renal outcome and reducing complications in adult patients with type 2 diabetes mellitus (T2DM). We aimed to construct a 6-month machine learning (ML) predictive model for the risk of rapidly progressive kidney disease and...

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Detalles Bibliográficos
Autores principales: Hsu, Chia-Tien, Pai, Kai-Chih, Chen, Lun-Chi, Lin, Shau-Hung, Wu, Ming-Ju
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9967274/
https://www.ncbi.nlm.nih.gov/pubmed/36834088
http://dx.doi.org/10.3390/ijerph20043396

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9967274/
https://www.ncbi.nlm.nih.gov/pubmed/36834088
http://dx.doi.org/10.3390/ijerph20043396

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