Predicting diabetic kidney disease for type 2 diabetes mellitus by machine learning in the real world: a multicenter retrospective study

Predicting diabetic kidney disease for type 2 diabetes mellitus by machine learning in the real world: a multicenter retrospective study

ObjectiveDiabetic kidney disease (DKD) has been reported as a main microvascular complication of diabetes mellitus. Although renal biopsy is capable of distinguishing DKD from Non Diabetic kidney disease(NDKD), no gold standard has been validated to assess the development of DKD.This study aimed to...

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Bibliographic Details
Main Authors: Xiao zhu Liu, Minjie Duan, Hao dong Huang, Yang Zhang, Tian yu Xiang, Wu ceng Niu, Bei Zhou, Hao lin Wang, Ting ting Zhang
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-07-01
Series:Frontiers in Endocrinology
Subjects:
type 2 diabetes mellitus
diabetic kidney disease
machine learning
prediction
CatBoost model
Online Access:https://www.frontiersin.org/articles/10.3389/fendo.2023.1184190/full

Internet

https://www.frontiersin.org/articles/10.3389/fendo.2023.1184190/full

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