Predicting breast cancer 5-year survival using machine learning: A systematic review.

Journal: PloS one
Published Date: Apr 16, 2021

Abstract

BACKGROUND: Accurately predicting the survival rate of breast cancer patients is a major issue for cancer researchers. Machine learning (ML) has attracted much attention with the hope that it could provide accurate results, but its modeling methods and prediction performance remain controversial. The aim of this systematic review is to identify and critically appraise current studies regarding the application of ML in predicting the 5-year survival rate of breast cancer.

Authors

  • Jiaxin Li
    Department of Gastroenterology, West China Hospital, Sichuan University, Chengdu, China.
  • Zijun Zhou
    School of Electrical and Automation Engineering, Nanjing Normal University, Nanjing 210023, China.
  • Jianyu Dong
    School of Nursing, Jilin University, Jilin, China.
  • Ying Fu
    Department of Ultrasound, Peking University Third Hospital, Beijing, China.
  • Yuan Li
    NHC Key Lab of Hormones and Development and Tianjin Key Lab of Metabolic Diseases, Tianjin Medical University Chu Hsien-I Memorial Hospital & Institute of Endocrinology, Tianjin, China.
  • Ze Luan
    School of Nursing, Jilin University, Jilin, China.
  • Xin Peng

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