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

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

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 mod...

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Bibliographic Details
Main Authors: Yanling Zhang, Kun Long, Zhaojian Gong, Ruping Dai, Shuiting Zhang
Format: Article
Language:English
Published: BMC 2025-01-01
Series:BMC Oral Health
Subjects:
Postoperative fever
Oral cancer
Risk factors
Machine learning
Prediction model
Nomogram
Online Access:https://doi.org/10.1186/s12903-025-05555-9
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