Analysis of risk factors for complications after flap reconstruction of head and neck cancer and construction and validation of predictive models

Logistic regression and random forest algorithm can effectively analyze the influencing factors of complications after free flap reconstruction in patients with head and neck cancer and construct accurate prediction model. This model can provide a scientific theoretical reference for the prevention of postoperative complications and facilitate the precise optimization of individualized prevention plans based on risk prediction.