A machine learning model for predicting the three-year survival status of patients with hypopharyngeal squamous cell carcinoma using multiple parameters.

Journal: The Journal of laryngology and otology
Published Date:

Abstract

OBJECTIVE: This study aimed to establish a model for predicting the three-year survival status of patients with hypopharyngeal squamous cell carcinoma using artificial intelligence algorithms.

Authors

  • Z Li
    Department of Pediatrics, Jinhua Maternal and Child Health Hospital, Jinhua, 321000, China.
  • S Ding
    c Department of Sciences , Dalian Nationalities University , Dalian 116600 , PR China.
  • Q Zhong
    Department of Otorhinolaryngology - Head and Neck Surgery, Beijing Tongren Hospital, Capital Medical University, Key Laboratory of Otolaryngology Head and Neck Surgery, Ministry of Education, Beijing, China.
  • J Fang
    Department of Hand Surgery of Xuzhou Renci Hospital, Xuzhou 221004, China.
  • J Huang
    Guangxi Key Laboratory of AIDS Prevention and Treatment & Guangxi Universities Key Laboratory of Prevention and Control of Highly Prevalent Disease, School of Public Health, Guangxi Medical University,Nanning 530021, Guangxi,China.
  • Z Huang
  • Y Zhang
    University Technology Sydney, 15 Broadway, Ultimo, NSW Australia.