Genetic algorithm-optimized backpropagation neural network establishes a diagnostic prediction model for diabetic nephropathy:Combined machine learning and experimental validation in mice

作     者：WEI LIANG ZONGWEI ZHANG KEJU YANG HONGTU HU QIANG LUO ANKANG YANG LI CHANG YUANYUAN ZENG 

作者机构：Division of NephrologyRenmin Hospital of Wuhan UniversityWuhanChina Nephrology and Urology Research Institute of Wuhan UniversityWuhanChina The First College of Clinical Medical ScienceThree Gorges UniversityYichangChina School of Life Science and EngineeringSouthwest Jiaotong UniversityChengduChina 

出 版 物：《BIOCELL》 (生物细胞（英文）)

年 卷 期：2023年第47卷第6期

页      面：1253-1263页

核心收录：

学科分类：1002[医学-临床医学] 100214[医学-肿瘤学] 10[医学] 

基　　金：the National Natural Science Foundation of China(Grant Number:81970631 to W.L.) 

主　　题：Diabetic nephropathy Renal tubule Machine learning Diagnostic model Genetic algorithm 

摘      要：Background:Diabetic nephropathy(DN)is the most common complication of type 2 diabetes mellitus and the main cause of end-stage renal disease *** biomarkers may allow early diagnosis and treatment of DN to reduce the prevalence and delay the development of *** biopsy is the gold standard for diagnosing DN;however,its invasive character is its primary *** machine learning approach provides a non-invasive and specific criterion for diagnosing DN,although traditional machine learning algorithms need to be improved to enhance diagnostic ***:We applied high-throughput RNA sequencing to obtain the genes related to DN tubular tissues and normal tubular tissues of *** machine learning algorithms,random forest,LASSO logistic regression,and principal component analysis were used to identify key genes(CES1G,CYP4A14,NDUFA4,ABCC4,ACE).Then,the genetic algorithm-optimized backpropagation neural network(GA-BPNN)was used to improve the DN diagnostic ***:The AUC value of the GA-BPNN model in the training dataset was 0.83,and the AUC value of the model in the validation dataset was 0.81,while the AUC values of the SVM model in the training dataset and external validation dataset were 0.756 and 0.650,***,this GA-BPNN gave better values than the traditional SVM *** diagnosis model may aim for personalized diagnosis and treatment of patients with *** staining further confirmed that the tissue and cell expression of NADH dehydrogenase(ubiquinone)1 alpha subcomplex,4-like 2(NDUFA4L2)in tubular tissue in DN mice were ***:The GA-BPNN model has better accuracy than the traditional SVM model and may provide an effective tool for diagnosing DN.