昆明医科大学学报2024，Vol.45Issue(3)：99-105,7.DOI:10.12259/j.issn.2095-610X.S20240315
机器学习算法构建慢性肾脏病伴高血压或糖尿病的预测模型
Predictive Modeling of Chronic Kidney Disease with Hypertension or Diabetes Based on Machine Learning Algorithms
摘要
Abstract
Objective To build the early predictive model for chronic kidney disease(CKD)in hypertension and diabetes patients in the community.Methods The CKD patients were recruited from 4 health care centers in 4 urban areas in Kunming.The control group was residents without hypertension and diabetes(n = 1267).The disease group was residents with hypertension and/or diabetes(n = 566).The questionnaire survey,physical examination,laboratory testing,and 5 SNPs gene types in the PVT1 gene.The risk factors,which were filtered with logistics regression,were used to build predictive models.Four machine learning algorithms were built:support vector machine(SVM),random forest(RF),Naïve Bayes(NB),and artificial neural network(ANN)models.Results Thirteen indicators included in the final diagnostic model:age,disease type,ethnicity,blood urea nitrogen,creatinine,eGFR from MDRD,ACR,eGFR from EPI2009,PAM13 score,sleep quality survey,staying-up late,PVT1 SNP rs11993333 and rs2720659.The accuracy,specificity,Kappa value,AUC of ROC,and PRC of ANN are greater than those of the other 3 models.The sensitivity of RF is the highest among 4 types of machine learning.Conclusions The ANN predictive model has a good ability of efficiency and classification to predict CKD with hypertension and/or diabetes patients in the community.关键词
慢性肾脏病/机器学习/预测模型/高血压/糖尿病Key words
Chronic kidney disease/Machine learning/Predictive modeling/Hypertension/Diabetes分类
医药卫生引用本文复制引用
曾慧娟,田波,袁红伶,何杰,李冠羲,茹国佳,许敏,詹东..机器学习算法构建慢性肾脏病伴高血压或糖尿病的预测模型[J].昆明医科大学学报,2024,45(3):99-105,7.基金项目
云南省教育厅科学研究基金资助项目(2022J0268) （2022J0268）
昆明医科大学第一附属医院博士科研基金资助项目(2021BS018) （2021BS018）
