IgA Nephropathy Prediction in Children with Machine Learning Algorithms
Immunoglobulin A nephropathy (IgAN) is the most common primary glomerular disease all over the world and it is a major cause of renal failure. IgAN prediction in children with machine learning algorithms has been rarely studied. We retrospectively analyzed the electronic medical records from the Nan...
Main Authors: | Ping Zhang, Rongqin Wang, Nianfeng Shi |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-12-01
|
Series: | Future Internet |
Subjects: | |
Online Access: | https://www.mdpi.com/1999-5903/12/12/230 |
Similar Items
-
IgA Vasculitis and IgA Nephropathy: Same Disease?
by: Evangeline Pillebout
Published: (2021-05-01) -
Noninvasive Urinary Monitoring of Progression in IgA Nephropathy
by: Joshua Y. C. Yang, et al.
Published: (2019-09-01) -
Characteristics of patients with coexisting IgA nephropathy and membranous nephropathy
by: Pei Chen, et al.
Published: (2018-10-01) -
History of IgA Nephropathy Mouse Models
by: Batoul Wehbi, et al.
Published: (2021-07-01) -
An Update on the Current State of Management and Clinical Trials for IgA Nephropathy
by: Chee Kay Cheung, et al.
Published: (2021-06-01)