Machine learning to predict the cancer-specific mortality of patients with primary non-metastatic invasive breast cancer.

Journal: Surgery today
Published Date: May 1, 2021

Abstract

PURPOSE: We used five machine-learning algorithms to predict cancer-specific mortality after surgical resection of primary non-metastatic invasive breast cancer.

Authors

  • Cheng-Mao Zhou
    Department of Anesthesiology, Pain and Perioperative Medicine, The First Affiliated Hospital of Zhengzhou University, Henan, China. zhouchengmao187@foxmail.com.
  • Qiong Xue
    Department of Anesthesiology, Pain, and Perioperative Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
  • Ying Wang
    Key Laboratory of Macromolecular Science of Shaanxi Province, School of Chemistry & Chemical Engineering, Shaanxi Normal University, Xi'an, Shaanxi 710062, China.
  • Jianhuaa Tong
    Department of Anesthesiology, Pain, and Perioperative Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
  • Muhuo Ji
    Department of Anesthesiology, Pain, and Perioperative Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
  • Jian-Jun Yang
    School of Medicine, Southeast University, Nanjing, China.

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