Development and Validation of a Novel Machine Learning Model to Predict the Survival of Patients with Gastrointestinal Neuroendocrine Neoplasms.

Journal: Neuroendocrinology
Published Date: May 6, 2024

Abstract

INTRODUCTION: Well-calibrated models for personalized prognostication of patients with gastrointestinal neuroendocrine neoplasms (GINENs) are limited. This study aimed to develop and validate a machine-learning model to predict the survival of patients with GINENs.

Authors

  • Si Liu
    Department of Cosmetic and Plastic Surgery, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
  • Yun-Xiang Chen
    Department of Library, Shengjing Hospital of China Medical University, Shenyang, China, chenyx@sj-hospital.org.
  • Bing Dai
    The School of Civil Engineering, Harbin University, Harbin 150086, China.
  • Li Chen
    Department of Endocrinology and Metabolism, Qilu Hospital, Shandong University, Jinan, China.

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