Development of a machine learning-based model to predict prognosis of alpha-fetoprotein-positive hepatocellular carcinoma.

Journal: Journal of translational medicine
PMID: 38741163

Abstract

BACKGROUND: Patients with alpha-fetoprotein (AFP)-positive hepatocellular carcinoma (HCC) have aggressive biological behavior and poor prognosis. Therefore, survival time is one of the greatest concerns for patients with AFP-positive HCC. This study aimed to demonstrate the utilization of six machine learning (ML)-based prognostic models to predict overall survival of patients with AFP-positive HCC.

Authors

  • Bingtian Dong
    Department of Ultrasound, the First Affiliated Hospital of Anhui Medical University, Hefei, China.
  • Hua Zhang
    School of Clinical Medicine, Hangzhou Medical College, Hangzhou, China.
  • Yayang Duan
    Department of Ultrasound, the First Affiliated Hospital of Anhui Medical University, Hefei, China.
  • Senbang Yao
    Department of Oncology, The Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.
  • Yongjian Chen
    Dermatology and Venereology Division, Department of Medicine Solna, Center for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden.
  • Chaoxue Zhang
    Department of Ultrasound, The First Affiliated Hospital of Anhui Medical University, Hefei, China.

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