Construction of risk prediction model of sentinel lymph node metastasis in breast cancer patients based on machine learning algorithm.

Journal: Discover oncology
Published Date:

Abstract

PURPOSE: The aim of this study was to develop and validate a machine learning (ML) based prediction model for sentinel lymph node metastasis in breast cancer to identify patients with a high risk of sentinel lymph node metastasis.

Authors

  • Qianmei Yang
    Department of Ultrasound, The First Affiliated Hospital of Chongqing University of Chinese Medicine, Chongqing Hospital of Traditional Chinese Medicine, Chongqing, 400021, China.
  • Cuifang Liu
    Department of Radiology, The First Affiliated Hospital of Chongqing University of Chinese Medicine, Chongqing Hospital of Traditional Chinese Medicine, Chongqing, 400021, China.
  • Yongyue Wang
    Department of Mammary Gland, The First Affiliated Hospital of Chongqing University of Chinese Medicine, Chongqing Hospital of Traditional Chinese Medicine, Chongqing, 400021, China.
  • Guifang Dong
    Department of Ultrasound, The First Affiliated Hospital of Chongqing University of Chinese Medicine, Chongqing Hospital of Traditional Chinese Medicine, Chongqing, 400021, China.
  • Jinghuan Sun
    Department of Traditional Chinese Medicine, ChongQing JiangJin District Hospital of Chinese Medicine (Jiangjin Hospital, Chongqing University of Chinese Medicin), Chongqing, 402260, China. sunjinghuan123@sina.com.

Keywords

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