Individual risk and prognostic value prediction by interpretable machine learning for distant metastasis in neuroblastoma: A population-based study and an external validation.

Journal: International journal of medical informatics
PMID: 39904180

Abstract

PURPOSE: Neuroblastoma (NB) is a childhood malignancy with a poor prognosis and a propensity for distant metastasis (DM). We aimed to establish machine learning (ML) based model to accurately predict risk of DM and prognosis of NB patients with DM.

Authors

  • Shan Li
    College of Mathematics and Physics, Qingdao University of Science and Technology, Qingdao 266061, China; Artificial Intelligence and Biomedical Big Data Research Center, Qingdao University of Science and Technology, Qingdao 266061, China. Electronic address: lishan5600@163.com.
  • Jinkui Wang
    Department of Urology, Children's Hospital of Chongqing Medical University, Zhongshan 2nd Road, No. 136, Yuzhong District, Chongqing, 400014, China.
  • Zhaoxia Zhang
    Department of Laboratory Medicine, The First Affiliated Hospital of Xinjiang Medical University, Urumuqi, 830000, China.
  • Chunnian Ren
    Department of Pediatric Surgery, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
  • Dawei He
    Department of Urology, Children's Hospital of Chongqing Medical University, Chongqing, China.

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