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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
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 |
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