Predicting distant metastasis of bladder cancer using multiple machine learning models: a study based on the SEER database with external validation.

Journal: Frontiers in oncology
Published Date: Dec 13, 2024

Abstract

BACKGROUND AND PURPOSE: Distant metastasis in bladder cancer is linked to poor prognosis and significant mortality. Machine learning (ML), a key area of artificial intelligence, has shown promise in the diagnosis, staging, and treatment of bladder cancer. This study aimed to employ various ML techniques to predict distant metastasis in patients with bladder cancer.

Authors

  • Xin Chang Zou
    The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China.
  • Xue Peng Rao
    The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China.
  • Jian Biao Huang
    The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China.
  • Jie Zhou
    Departments of Ultrasound, Jiading District Central Hospital Affiliated Shanghai University of Medicine &Health Sciences, Shanghai, China.
  • Hai Chao Chao
    Department of Urology, Second Affiliated Hospital of Nanchang University, Nanchang, China.
  • Tao Zeng
    Department of Urology, Second Affiliated Hospital of Nanchang University, Nanchang, China.

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