A machine learning approach to predicting postoperative recurrence in pediatric chronic rhinosinusitis: identification of key metabolic biomarkers.

Journal: American journal of otolaryngology
Published Date: Jan 1, 2025

Abstract

BACKGROUND: Pediatric chronic rhinosinusitis (CRS) is a common chronic inflammatory disease with a high recurrence rate after surgery. This study aimed to construct and validate a machine learning-based predictive model to predict the risk of postoperative recurrence of pediatric CRS and to identify potential biomarkers.

Authors

  • Shenghao Cheng
    Department of Otolaryngology Head and Neck Surgery, Xiangya Hospital of Central South University, Changsha, China; Hunan Province Key Laboratory of Otolaryngology Critical Diseases, Xiangya Hospital of Central South University, Changsha, China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital of Central South University, Changsha, China; Anatomy Laboratory of Division of Nose and Cranial Base, Clinical Anatomy Center of Xiangya Hospital, Central South University, Changsha, China.
  • Sijie Jiang
    Department of Otolaryngology Head and Neck Surgery, Xiangya Hospital, Central South University, Changsha 410078, Hunan, China.
  • Shaobing Xie
    Department of Otolaryngology-Head and Neck Surgery, Xiangya Hospital of Central South University, Changsha, People's Republic of China.
  • Benjian Zhang
    Department of Otolaryngology Head and Neck Surgery, Xiangya Hospital of Central South University, Changsha, China; Hunan Province Key Laboratory of Otolaryngology Critical Diseases, Xiangya Hospital of Central South University, Changsha, China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital of Central South University, Changsha, China; Anatomy Laboratory of Division of Nose and Cranial Base, Clinical Anatomy Center of Xiangya Hospital, Central South University, Changsha, China.
  • Hua Zhang
    School of Clinical Medicine, Hangzhou Medical College, Hangzhou, China.
  • Junyi Zhang
    Graduate School of Advanced Science and Engineering, Hiroshima University, Higashihiroshima, 739-8529, Japan. junyizh24@gmail.com.
  • Zhihai Xie
    Department of Otolaryngology-Head and Neck Surgery, Xiangya Hospital of Central South University, Changsha, People's Republic of China.
  • Weihong Jiang
    Department of Otolaryngology Head and Neck Surgery, Xiangya Hospital, Central South University, Changsha 410078, Hunan, China.

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