A chronic kidney disease risk screening method and system, particularly relating to a machine learning method for constructing a chronic kidney disease risk screening model. The chronic kidney disease risk screening method comprises: establishing an effective chronic kidney disease risk screening model, arranging user data to be screened, substituting said user data into the chronic kidney disease risk screening model for model calculation, and finally obtaining the kidney disease risk result. The chronic kidney disease risk screening system of high efficiency, low cost and high accuracy is realized. According to the method, a machine learning BP neural network, XGBoost and a random forest integration algorithm are adopted to train a chronic kidney disease risk screening model; high-risk groups with chronic kidney diseases can be automatically screened out according to basic body measurement information, symptom information, medical examination information, family history, past medical history, living habits and other data, and the accuracy is above 0.96.
展开▼
