Proteomics-Based Machine Learning Approach as an Alternative to Conventional Biomarkers for Differential Diagnosis of Chronic Kidney Diseases

Proteomics-Based Machine Learning Approach as an Alternative to Conventional Biomarkers for Differential Diagnosis of Chronic Kidney Diseases

Diabetic nephropathy, hypertension, and glomerulonephritis are the most common causes of chronic kidney diseases (CKD). Since CKD of various origins may not become apparent until kidney function is significantly impaired, a differential diagnosis and an appropriate treatment are needed at the very e...

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Bibliographic Details
Main Authors: Yury E. Glazyrin, Dmitry V. Veprintsev, Irina A. Ler, Maria L. Rossovskaya, Svetlana A. Varygina, Sofia L. Glizer, Tatiana N. Zamay, Marina M. Petrova, Zoran Minic, Maxim V. Berezovski, Anna S. Kichkailo
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:International Journal of Molecular Sciences
Subjects:
chronic kidney disease
machine learning
differential diagnosis
proteomics
mass spectrometry
label-free quantification
Online Access:https://www.mdpi.com/1422-0067/21/13/4802

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https://www.mdpi.com/1422-0067/21/13/4802

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