Gradient boosting machine model predicts psychiatric complications after deep brain stimulation in Parkinson’s disease

The prediction model constructed based on the GBM algorithm has good predictive performance and can provide a reference for clinical medical staff to identify groups at high risk for mental complications such as depression, anxiety, cognitive impairment, and delirium after DBS.