Development and validation of a small-sample machine learning model to predict 5-year overall survival in patients with hepatocellular carcinoma.

Journal: BMC cancer
Published Date: Jul 1, 2025

Abstract

BACKGROUND: Early-onset hepatocellular carcinoma (HCC) is insidious, with characteristics of easy metastasis, high recurrence rate, and significant mortality. To address the substantial time and resource demands associated with HCC prognostic prediction, we extract meaningful insights from limited small-sample data to develop and validate a prediction model for HCC 5-year overall survival (OS) by machine learning (ML).

Authors

  • Tingting Jiang
    Interdepartmental Program in Computational Biology and Bioinformatics, Yale University, New Haven, 06511, CT, USA.
  • Xingyu Liu
    First People's Hospital of Zunyi City, Zunyi, China.
  • Wencan He
    School of Life Sciences, Central South University, Changsha, Hunan Province, 410078, China.
  • Hepei Li
    Division of Head & Neck Tumor Multimodality Treatment, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan Province, 610041, China.
  • Xiang Yan
    Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha, China.
  • Qian Yu
    State Key Laboratory of Characteristic Chinese Medicine Resources in Southwest China, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
  • Shanjun Mao
    Institute of Remote Sensing and Geographic Information System, Peking University, Beijing 100871, China.

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