A novel prediction of uric acid component in nephrolithiasis using simple clinical information: A machine learning-based model

被引：0
|
作者：
Chen, H-W [1 ]
Yu-Chen, C. Y. C. [1 ]
Jung-Ting, L. J. T. [2 ]
Chung-Yao, K. [3 ]
Wen-Jeng, W. [1 ]
Yung-Shun, J. Y. S. [1 ]
机构：
[1] Kaohsiung Med Univ Hosp, Dept Urol, Kaohsiung, Taiwan
[2] Natl Sun Yat Sen Univ, Si Wan Coll, Kaohsiung, Taiwan
[3] Natl Sun Yat Sen Univ, Dept Elect Engn, Kaohsiung, Taiwan
来源：
EUROPEAN UROLOGY | 2022年 / 81卷
关键词：
D O I：
暂无
中图分类号：
R5 [内科学]; R69 [泌尿科学（泌尿生殖系疾病）];
学科分类号：
1002 ; 100201 ;
摘要：
A0929
引用
收藏
页码：S1367 / S1368
页数：2
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