Machine learning predicts prognosis in patients with gastroenteropancreatic neuroendocrine tumors with liver metastases.

Journal: Discover oncology
Published Date: May 12, 2025

Abstract

BACKGROUND: Patients with gastroenteropancreatic neuroendocrine neoplasms (GEP-NENs) and liver metastases typically exhibit poor prognoses. However, accurate survival prediction models remain insufficient. This study aimed to develop machine learning-based models to predict the 1-year, 3-year, and 5-year overall survival in these patients.

Authors

  • Fuli Gao
    Department of Gastroenterology, Changshu Hospital Affiliated to Soochow University, First People's Hospital of Changshu City, No.1 Shuyuan Street, Changshu, Jiangsu, 215500, China.
  • Jian Chen
    School of Pharmacy, Shanghai Jiaotong University, Shanghai, China.
  • Xiaodan Xu
    Department of Gastroenterology, Changshu Hospital Affiliated to Soochow University, First People's Hospital of Changshu City, No.1 Shuyuan Street, Changshu, Jiangsu, 215500, China. xuxiaodan20@126.com.

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