Prediction of Diabetes Based on Machine Learning Algorithm
Diabetes is an incurable chronic disease.Early detection,early intervention,and early treatment can delay the progression of the disease and improve the treatment efficiency of patients.A prediction model based on six Machine Learning classification algorithms,such as Decision Tree,Logical Regression and XGBoost,is constructed to predict the risk of diabetes.The model takes the Pima Indian diabetes dataset as the research object,builds an effective dataset through data pre-processing and data feature analysis,uses grid search method to cross verify and find the optimal parameter combination of the algorithm,builds a super parameter and a classification model based on super parameters,and evaluates the prediction performance of the model.The experimental results show that the model has good risk prediction performance for diabetes.
国家科技期刊平台
NSTL
万方数据
