Machine‐learning–based early prediction of end‐stage renal disease in patients with diabetic kidney disease using clinical trials data

AIM: To predict end‐stage renal disease (ESRD) in patients with type 2 diabetes by using machine‐learning models with multiple baseline demographic and clinical characteristics. MATERIALS AND METHODS: In total, 11 789 patients with type 2 diabetes and nephropathy from three clinical trials, RENAAL (...

Descripción completa

Detalles Bibliográficos
Autores principales: Belur Nagaraj, Sunil, Pena, Michelle J., Ju, Wenjun, Heerspink, Hiddo L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Blackwell Publishing Ltd 2020
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7756814/
https://www.ncbi.nlm.nih.gov/pubmed/32844582
http://dx.doi.org/10.1111/dom.14178

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7756814/
https://www.ncbi.nlm.nih.gov/pubmed/32844582
http://dx.doi.org/10.1111/dom.14178

Ejemplares similares