Prediction of recurrence in ischemic stroke patients treated with traditional Chinese medicine based on XGBoost model
HAO Ruo-fei
ZHAO Song
Abstract：Objective:To find the risk factors and prediction models of recurrence under the intervention of rehabilitation ther-apy of traditional Chinese medicine(TCM),and to provide reference for the prevention and intervention of recurrence in the first-ep-isode IS patients.Methods:From March 2019 to June 2022,485 patients with ischemic stroke were divided into recurrent group and non-recurrent group.To compare the difference of each index between the two groups of patients,to construct the recurrence risk predic-tion model,and to screen out the model with the best prediction performance.Results:The LR model had the lowest prediction accu-racy and the XGBOOST model had the highest prediction accuracy for recurrence within 6 months.Of the six models,the XGBOOST model performed best in predicting recurrence at both June and 12 months.In the XGBOOST model,NIHSS score,total cholesterol,d-dimer,high-density lipoprotein,and neutrophil were the top five risk factors for predicting admission within 6 months.Type of res-idents,internal carotid artery stenosis,obesity,age and total cholesterol were the top five risk factors within 12 months;There were some differences in recurrence risk factors between 6 months and 12 months.Conclusion:XGBOOST model can predict whether the patients will relapse within 6 months and 12 months,which can be used to predict the relapse risk of the first-episode IS patients.
Keywords：Ischemic strokeTCM rehabilitation therapyRecurrence risk factorsXGBoost prediction model
Publication Date：2023-12-25
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：7( 441-447 )