Construction and validation of a machine learning model to predict the risk of nasopharyngeal carcinoma using multimodal clinical data: a single-center, retrospective study.

Journal: Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico
Published Date: Jul 15, 2025

Abstract

OBJECTIVE: Early detection and treatment of nasopharyngeal carcinoma (NPC) are critical for improving patient prognosis. The aim of this study is to develop and compare multiple machine learning (ML) models using multimodal clinical data to identify a predictive model for NPC risk, increase diagnostic accuracy, and guide personalized treatment strategies.

Authors

  • Xiao Li
    Department of Inner Mongolia Clinical Medicine College, Inner Mongolia Medical University, Hohhot, Inner Mongolia, China.
  • Zuheng Wang
    Department of Urology, Jinling Hospital, Medical School of Nanjing University, Nanjing, 210002, China.
  • Wenting Chen
    Basic Medical College of Fudan University, Shanghai, China.
  • Chunmeng Wei
    Center for Genomic and Personalized Medicine, Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, 530021, Guangxi, China.
  • Wenhao Lu
    School of Electrical and Electronic Engineering, Nanyang Technological University, Nanyang Avenue, 639798, Singapore.
  • Rongbin Zhou
    Collaborative Innovation Centre of Regenerative Medicine and Medical BioResource Development and Application Co-Constructed By the Province and Ministry, Guangxi Medical University, No. 22, Shuangyong Road, Qingxiu District, Nanning City, 530021, Guangxi Zhuang Autonomous Region, People's Republic of China.
  • Fubo Wang
    Center for Genomic and Personalized Medicine, Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, 530021, Guangxi, China. wangbofengye@163.com.
  • Leifeng Liang
    Department of Oncology, The Sixth Affiliated Hospital of Guangxi Medical University, The First People's Hospital of Yulin, 495 Education Middle Road, Yulin, 537000, Guangxi, China. liangleifeng@stu.gxmu.edu.cn.

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