Using machine learning to construct the diagnosis model of female bladder outlet obstruction based on urodynamic study data.

Journal: Investigative and clinical urology
PMID: 39505515

Abstract

PURPOSE: To intelligently diagnose whether there is bladder outlet obstruction (BOO) in female with decent detrusor contraction ability by focusing on urodynamic study (UDS) data.

Authors

  • Quan Zhou
    Department of Medical Laboratory, General Hospital of Southern Theater of PLA, Guangzhou 51010, China.
  • Guang Li
    Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, USA.
  • Kai Cui
  • Weilin Mao
    Department of Urology, Minda Hospital of Hubei Minzu University, Enshi, China.
  • Dongxu Lin
    Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Zhenglong Yang
    School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China.
  • Zhong Chen
    Institute of HIV/AIDS The First Hospital of Changsha, Changsha, China.
  • Youmin Hu
    School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China. Electronic address: youmhwh@mail.hust.edu.cn.
  • Xin Zhang
    First Department of Infectious Diseases, The First Affiliated Hospital of China Medical University, Shenyang, China.

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