Assessment of triglyceride and cholesterol in overweight people based on multiple linear regression and artificial intelligence model

被引：0
|
作者：
Jing Ma
Jiong Yu
Guangshu Hao
Dan Wang
Yanni Sun
Jianxin Lu
Hongcui Cao
Feiyan Lin
机构：
[1] Zhejiang University,Department of Laboratory Medicine, First Affiliated Hospital, College of Medicine
[2] Key Laboratory of Clinical In Vitro Diagnostic Techniques of Zhejiang Province,The State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, First Affiliated Hospital, College of Medicine
[3] Zhejiang University,Key Laboratory for Laboratory Medicine of Ministry of Education
[4] Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases,Central laboratory
[5] Wenzhou Medical University,undefined
[6] The First Affiliated Hospital of Wenzhou Medical University,undefined
来源：
Lipids in Health and Disease | / 16卷
关键词：
Triglyceride; Cholesterol; Overweight; Regression; Back propagation artificial neural network;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [21] Based on Multiple Linear Regression Model of the Housing Demand Analysis
    Lin, Junxiao
    ELECTRONIC INFORMATION AND ELECTRICAL ENGINEERING, 2012, 19 : 796 - 799
  • [22] Development of air-soil temperature model using computational intelligence paradigms: artificial neural network versus multiple linear regression
    Heddam, Salim
    MODELING EARTH SYSTEMS AND ENVIRONMENT, 2019, 5 (03) : 747 - 751
  • [23] A novel hybrid classification model of artificial neural networks and multiple linear regression models
    Khashei, Mehdi
    Hamadani, Ali Zeinal
    Bijari, Mehdi
    EXPERT SYSTEMS WITH APPLICATIONS, 2012, 39 (03) : 2606 - 2620
  • [24] SUPERIORITY OF ARTIFICIAL NEURAL NETWORK MODEL OVER MULTIPLE LINEAR REGRESSION MODEL FOR PREDICTING BROCCOLI YIELD
    Mishra, Minakshi
    Thakur, Ratan Kumar
    INTERNATIONAL JOURNAL OF AGRICULTURAL AND STATISTICAL SCIENCES, 2020, 16 (02): : 757 - 762
  • [25] Artificial intelligence and multiple sclerosis: ChatGPT model
    Altunisik, Erman
    MULTIPLE SCLEROSIS AND RELATED DISORDERS, 2023, 76
  • [26] Prediction Analysis for Building Deformation Based on Multiple Linear Regression Model
    Zhang, Bo
    Qiu, Lijun
    Zhou, Zhanxue
    6TH INTERNATIONAL CONFERENCE ON ENVIRONMENTAL SCIENCE AND CIVIL ENGINEERING, 2020, 455
  • [27] Predicting Product Sales Situation Based on the Multiple Linear Regression Model
    Yuan, Zihou
    PROCEEDINGS OF THE EIGHTH INTERNATIONAL CONFERENCE ON INFORMATION AND MANAGEMENT SCIENCES, 2009, 8 : 382 - 384
  • [28] Permeability Model of Liquid Microcapsule Based on Multiple Linear Regression Method
    Xu, Xiuqing
    Li, Fagen
    Zhao, Xuehui
    Yang, Fang
    COATINGS, 2023, 13 (08)
  • [29] A learning system-based soft multiple linear regression model
    Hesamian, Gholamreza
    Torkian, Faezeh
    Johannssen, Arne
    Chukhrova, Nataliya
    INTELLIGENT SYSTEMS WITH APPLICATIONS, 2024, 22
  • [30] Iron Ore Price Prediction Based on Multiple Linear Regression Model
    Wang, Yanyi
    Guo, Zhenwei
    Zhang, Yunrui
    Hu, Xiangping
    Xiao, Jianping
    SUSTAINABILITY, 2023, 15 (22)
12345