Machine learning and deep learning to improve overall survival prediction in cervical cancer patients.

Journal: Translational cancer research
Published Date:

Abstract

BACKGROUND: Cervical cancer (CC) is one of the most common gynecological malignancies. Previous studies have shown that the prognosis of CC is affected by many factors. Our study aimed to identify key prognostic factors and use machine learning and deep learning algorithms to construct models to predict the overall survival (OS) of CC patients.

Authors

  • Nan Jiang
  • Xing Xiong
    Department of Landscape Architecture, Nanjing Agricultural University, Nanjing, China.
  • Xue Chen
    Department of Orthopedics, The Second Hospital of Jilin University, Changchun 130041, China.
  • Mengmeng Feng
    Department of Radiology, The First Affiliated Hospital of Soochow University, Suzhou, China.
  • Yan Guo
    State Key Laboratory of Pathogen and Biosecurity, Beijing 100071, China.
  • Chunhong Hu
    Department of Oncology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.

Keywords

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