Using elastography-based multilayer perceptron model to evaluate renal fibrosis in chronic kidney disease

Using elastography-based multilayer perceptron model to evaluate renal fibrosis in chronic kidney disease

Background Given its progressive deterioration in the clinical course, noninvasive assessment and risk stratification for the severity of renal fibrosis in chronic kidney disease (CKD) are required. We aimed to develop and validate an end-to-end multilayer perceptron (MLP) model for assessing renal...

Full description

Saved in:
Bibliographic Details
Main Authors: Ziman Chen, Tin Cheung Ying, Jiaxin Chen, Chaoqun Wu, Liujun Li, Hui Chen, Ting Xiao, Yongquan Huang, Xuehua Chen, Jun Jiang, Yingli Wang, Wuzhu Lu, Zhongzhen Su
Format: Article
Language:English
Published: Taylor & Francis Group 2023-12-01
Series:Renal Failure
Subjects:
Chronic kidney disease
renal fibrosis
shear wave elastography
multilayer perceptron
machine learning
Online Access:https://www.tandfonline.com/doi/10.1080/0886022X.2023.2202755
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.tandfonline.com/doi/10.1080/0886022X.2023.2202755

Similar Items