A prognostic framework for predicting lung signet ring cell carcinoma via a machine learning based cox proportional hazard model.

Journal: Journal of cancer research and clinical oncology
PMID: 39052087

Abstract

PURPOSE: Signet ring cell carcinoma (SRCC) is a rare type of lung cancer. The conventional survival nomogram used to predict lung cancer performs poorly for SRCC. Therefore, a novel nomogram specifically for studying SRCC is highly required.

Authors

  • Haixin Chen
    The First Clinical College, Guangdong Medical University, Zhanjiang, Guangdong, 524023, China.
  • Yanyan Xu
    School of Information Science and Technology, Beijing Forestry University, No. 35 Qinghuadong Road, Haidian District, Beijing 100083, China.
  • Haowen Lin
    Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangdong, 510000, China.
  • Shibiao Wan
  • Lianxiang Luo
    The Marine Biomedical Research Institute of Guangdong Zhanjiang, School of Ocean and Tropical Medicine, Guangdong Medical University, Zhanjiang, Guangdong, 524023, China. luolianxiang321@gdmu.edu.cn.

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