Diagnosis Model of Diabetic Nephropathy Based on WOA-XGBoost
MU Yunxiang
YU Jinyu
Abstract：This paper uses the whale-optimized XGBoost algorithm to establish a model for auxiliary diagnosis of diabetic ne-phropathy,and uses the patient's biochemical index data to diagnose diabetic nephropathy,which will greatly reduce the pain of pa-tients and save a lot of medical resources.In this paper,seven basic models are constructed to classify diabetic nephropathy,the best performing XGBoost model is selected,and the whale algorithm is used to optimize its parameters,then this paper brings the optimal parameters back to XGBoost to build the final diabetic nephropathy model,and finally evaluates the model.The model per-formes well in the classification of diabetic nephropathy and can play a certain auxiliary role in the diagnosis of doctors.
Keywords：diabetic nephropathyXGBoost algorithmWOA
Publication Date：2025-01-19
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：3( 36-38 )