Predictive value of machine learning for PD-L1 expression in NSCLC: a systematic review and meta-analysis.

Journal: World journal of surgical oncology
Published Date:

Abstract

BACKGROUND: As machine learning (ML) continuously develops in cancer diagnosis and treatment, some researchers have attempted to predict the expression of programmed death ligand-1 (PD-L1) in non-small cell lung cancer (NSCLC) by ML. However, there is a lack of systematic evidence on the effectiveness of ML.

Authors

  • Ting Zheng
    Department of Medical Oncology, The First People's Hospital of Linping District, Hangzhou, 311100, Zhejiang Province, China. zz_tt666@163.com.
  • Xingxing Li
  • Li Zhou
    School of Education, China West Normal University, Nanchong, Sichuan, China.
  • Jianjiang Jin
    Department of Medical Oncology, The First People's Hospital of Linping District, Hangzhou, 311100, Zhejiang Province, China.