Postoperative fever following surgery for oral cancer: Incidence, risk factors, and the formulation of a machine learning-based predictive model.

Journal: BMC oral health
PMID: 39885528

Abstract

BACKGROUND: Postoperative fever (POF) is a common occurrence in patients undergoing major surgery, presenting challenges and burdens for both patients and surgeons yet. This study endeavors to examine the incidence, identify risk factors, and establish a machine learning-based predictive model for POF following surgery of oral cancer.

Authors

  • Yanling Zhang
    1 School of Chinese Pharmacy, Beijing University of Chinese Medicine, Beijing 100102, P. R. China.
  • Kun Long
    Department of Anaesthesiology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China.
  • Zhaojian Gong
    Department of Oral and Maxillofacial Surgery, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
  • Ruping Dai
    Department of Anaesthesiology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China.
  • Shuiting Zhang
    Department of Anaesthesiology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China. xyzst09@csu.edu.cn.

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