Prediction of recurrence-free survival and risk factors of sinonasal inverted papilloma after surgery by machine learning models.

Journal: European journal of medical research
PMID: 39497172

Abstract

OBJECTIVES: Our research aims to construct machine learning prediction models to identify patients proned to recurrence after inverted papilloma (IP) surgery and guide their follow-up treatment.

Authors

  • Siyu Miao
    College of Electronic and Information Engineering, Hebei University, Baoding Hebei, China.
  • Yang Cheng
    Ministry of Agriculture Key Laboratory of Molecular Biology of Crop Pathogens and Insects, Institute of Insect Sciences, Zhejiang University, Hangzhou 310058, China.
  • Yaqi Li
    The National and Local Joint Engineering Laboratory of Animal Peptide Drug Development, College of Life Sciences, Hunan Normal University, Changsha, China.
  • Xiaodong Chen
  • Fuquan Chen
    Department of Otolaryngology Head and Neck Surgery, Xijing Hospital, The Air Force Medical University, 127 Changle West Road, Xi'an, 710032, China.
  • Dingjun Zha
    Department of Otolaryngology Head and Neck Surgery, Xijing Hospital, The Air Force Medical University, 127 Changle West Road, Xi'an, 710032, China. zhadjun@fmmu.edu.cn.
  • Tao Xue
    Department of Cardiothoracic Surgery, Zhongda Hospital Affiliated to Southeast University, Nanjing, China.

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