文献类型：期刊文献

英文题名：Comparison of conventional mathematical model and machine learning model based on recent advances in mathematical models for predicting diabetic kidney disease

作者：Sheng, Yingda[1,2];Zhang, Caimei[1,2];Huang, Jing[1,2];Wang, Dan[1,2];Xiao, Qian[1,2];Zhang, Haocheng[3];Ha, Xiaoqin[2,4]

第一作者：Sheng, Yingda

通信作者：Ha, X[1]

机构：[1]Gansu Univ Chinese Med, Lanzhou, Gansu, Peoples R China;[2]Chinese Peoples Liberat Army, 940th Hosp Joint Logist Support Force, Lanzhou, Gansu, Peoples R China;[3]Lanzhou Univ, Hosp 2, Lanzhou, Gansu, Peoples R China;[4]Chinese Peoples Liberat Army, 940th Hosp Joint Logist Support Force, Qilihe Dist, Lanzhou 730000, Gansu, Peoples R China

第一机构：甘肃中医药大学

通信机构：[1]corresponding author), Chinese Peoples Liberat Army, 940th Hosp Joint Logist Support Force, Qilihe Dist, Lanzhou 730000, Gansu, Peoples R China.

年份：2024

卷号：10

外文期刊名：DIGITAL HEALTH

收录：;Scopus(收录号：2-s2.0-85186943491);WOS:【SSCI(收录号:WOS:001180913900001)，SCI-EXPANDED(收录号:WOS:001180913900001)】；

基金：Not applicable.

语种：英文

外文关键词：Mathematical model; machine learning model; diabetic kidney disease; ?conventional model

摘要：Previous research suggests that mathematical models could serve as valuable tools for diagnosing or predicting diseases like diabetic kidney disease, which often necessitate invasive examinations for conclusive diagnosis. In the big-data era, there are several mathematical modeling methods, but generally, two types are recognized: conventional mathematical model and machine learning model. Each modeling method has its advantages and disadvantages, but a thorough comparison of the two models is lacking. In this article, we describe and briefly compare the conventional mathematical model and machine learning model, and provide research prospects in this field.