计算机与数字工程2025，Vol.53Issue(1)：36-38,3.DOI:10.3969/j.issn.1672-9722.2025.01.008
基于WOA-XGBoost的糖尿病肾病诊断模型
Diagnosis Model of Diabetic Nephropathy Based on WOA-XGBoost
摘要
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.关键词
糖尿病肾病/极端梯度提升算法/鲸鱼算法Key words
diabetic nephropathy/XGBoost algorithm/WOA分类
数学引用本文复制引用
穆云祥,于金玉..基于WOA-XGBoost的糖尿病肾病诊断模型[J].计算机与数字工程,2025,53(1):36-38,3.
