Development and validation of a nomogram to predict impacted ureteral stones via machine learning.

Abstract

Authors

• Yuanjiong Qi
  Department of Urology, Tianjin Institute of Urology, The Second Hospital of Tianjin Medical University, Tianjin, China.
• Shushuai Yang
  Department of Urology, Tianjin Institute of Urology, The Second Hospital of Tianjin Medical University, Tianjin, China.
• Jingxian Li
  Department of Urology, Tianjin Institute of Urology, The Second Hospital of Tianjin Medical University, Tianjin, China.
• Haonan Xing
  Department of Urology, Tianjin Institute of Urology, The Second Hospital of Tianjin Medical University, Tianjin, China.
• Qiang Su
  Guizhou University of Traditional Chinese Medicine, Guiyang, Guizhou Province, China.
• Siyuan Wang
  Key Laboratory of Agricultural Information Acquisition Technology, Ministry of Agriculture and Key Laboratory of Modern Precision Agriculture System Integration Research, Ministry of Education, China Agricultural University, Beijing, 100083, People's Republic of China.
• Yue Chen
  The College of Basic Medical Sciences, Guangzhou University of Chinese Medicine, Guangzhou, China.
• Shiyong Qi
  Department of Urology, Tianjin Institute of Urology, The Second Hospital of Tianjin Medical University, Tianjin, China - yongshiqi@163.com.

Keywords

External Resources