Prediction of the Uric Acid Component in Nephrolithiasis Using Simple Clinical Information about Metabolic Disorder and Obesity: A Machine Learning-Based Model

There is a great need for a diagnostic tool using simple clinical information collected from patients to diagnose uric acid (UA) stones in nephrolithiasis. We built a predictive model making use of machine learning (ML) methodologies entering simple parameters easily obtained at the initial clinical...

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Detalles Bibliográficos
Autores principales: Chen, Hao-Wei, Chen, Yu-Chen, Lee, Jung-Ting, Yang, Frances M., Kao, Chung-Yao, Chou, Yii-Her, Chu, Ting-Yin, Juan, Yung-Shun, Wu, Wen-Jeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9103478/
https://www.ncbi.nlm.nih.gov/pubmed/35565794
http://dx.doi.org/10.3390/nu14091829

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9103478/
https://www.ncbi.nlm.nih.gov/pubmed/35565794
http://dx.doi.org/10.3390/nu14091829

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