Random forest algorithm for predicting postoperative hypotension in oral cancer resection and free flap reconstruction surgery.

ABSTRACT: This study aimed to investigate the risk factors for low postoperative blood pressure and construct a machine learning (ML) model based on these features for real-time prediction in patients with oral cancer following reconstruction surgery. The retrospective cohort analysis included adults who had undergone oral cancer resection and free flap reconstruction surgery between December 2022 and December 2023. Patient clinical characteristics were obtained from the electronic medical records. Seven ML techniques were attempted with postoperative hypotension (POH) (mean arterial pressure ˂ 55 mmHg) as the primary outcome. The best-performing ML model was tuned, and the final performance was evaluated using split-set validation, followed by risk factor identification and model interpretability.

SUBMITTER: Zhang S 

PROVIDER: S-EPMC11828919 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature