Evaluation of machine learning algorithms for the prognosis of breast cancer from the Surveillance, Epidemiology, and End Results database.

Journal: PloS one
Published Date:

Abstract

INTRODUCTION: Many researchers used machine learning (ML) to predict the prognosis of breast cancer (BC) patients and noticed that the ML model had good individualized prediction performance.

Authors

  • Ruiyang Wu
    Department of Breast and Thyroid Surgery, Sichuan Provincial Hospital for Women and Children (Affiliated Women and Children's Hospital of Chengdu Medical College), Chengdu, China.
  • Jing Luo
    Department of Ophthalmology, The Second Xiangya Hospital of Central South University, 139 Middle Renmin RD, Changsha, Hunan, China.
  • Hangyu Wan
    Department of Breast and Thyroid Surgery, Sichuan Provincial Hospital for Women and Children (Affiliated Women and Children's Hospital of Chengdu Medical College), Chengdu, China.
  • Haiyan Zhang
    School of Information Science and Technology, Beijing Forestry University, Beijing 100083, China.
  • Yewei Yuan
    Department of Breast and Thyroid Surgery, Sichuan Provincial Hospital for Women and Children (Affiliated Women and Children's Hospital of Chengdu Medical College), Chengdu, China.
  • Huihua Hu
    Department of Breast and Thyroid Surgery, Sichuan Provincial Hospital for Women and Children (Affiliated Women and Children's Hospital of Chengdu Medical College), Chengdu, China.
  • Jinyan Feng
    Department of Breast and Thyroid Surgery, Sichuan Provincial Hospital for Women and Children (Affiliated Women and Children's Hospital of Chengdu Medical College), Chengdu, China.
  • Jing Wen
    Department of Microbiology, Immunology and Molecular Genetics, University of California, Los Angeles, Los Angeles, CA 90095, USA.
  • Yan Wang
    College of Animal Science and Technology, Beijing University of Agriculture, Beijing, China.
  • Junyan Li
    Department of Breast and Thyroid Surgery, Sichuan Provincial Hospital for Women and Children (Affiliated Women and Children's Hospital of Chengdu Medical College), Chengdu, China.
  • Qi Liang
    Department of Radiology, The Third Xiangya Hospital of Central South University, Changsha 410013, China.
  • Fengjiao Gan
    Department of Breast and Thyroid Surgery, Sichuan Provincial Hospital for Women and Children (Affiliated Women and Children's Hospital of Chengdu Medical College), Chengdu, China.
  • Gang Zhang