Establishing a differential diagnosis model between primary membranous nephropathy and non-primary membranous nephropathy by machine learning algorithms

Establishing a differential diagnosis model between primary membranous nephropathy and non-primary membranous nephropathy by machine learning algorithms

Context Four algorithms with relatively balanced complexity and accuracy in deep learning classification algorithm were selected for differential diagnosis of primary membranous nephropathy (PMN).Objective This study explored the most suitable classification algorithm for PMN identification, and to...

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Bibliographic Details
Main Authors: Shangmei Cao, Shaozhe Yang, Bolin Chen, Xixia Chen, Xiuhong Fu, Shuifu Tang
Format: Article
Language:English
Published: Taylor & Francis Group 2024-12-01
Series:Renal Failure
Subjects:
Primary membranous nephropathy
machine learning algorithms
differential diagnosis
anti-PLA2R
IgG
Xgboost model
Online Access:https://www.tandfonline.com/doi/10.1080/0886022X.2024.2380752
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https://www.tandfonline.com/doi/10.1080/0886022X.2024.2380752

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