Prognostic prediction for HER2-low breast cancer patients using a novel machine learning model.

Journal: BMC cancer
PMID: 39614188

Abstract

BACKGROUNDS: To develop a machine learning (ML) model for predicting the prognosis of breast cancer (BC) patients with low human epidermal growth factor receptor 2 (HER2) expression, and to investigate the association between clinicopathological characteristics and outcomes in HER2-low BC (HLBC) patients.

Authors

  • Yilun Li
    Department of Breast Disease Center, The Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei, 050000, China.
  • Xiaolu Yang
    Department of Breast Disease Center, The Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei, 050000, China.
  • Li Ma
    Department of Technological Research and Development, Hunan Guanmu Biotech Co., Ltd, Changsha, China.

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