Risk prediction of type 2 diabetes in steel workers based on convolutional neural network

Author:

Wu Jian-HuiORCID,Li Jing,Wang Jie,Zhang Lu,Wang Hai-Dong,Wang Guo-Li,Li Xiao-lin,Yuan Ju-Xiang

Funder

National Basic Research Program of China

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Reference29 articles.

1. Colman PG, Mcnair PD, Gellert S (2010) Development of autoantibodies to islet antigens during childhood: implications for preclinical type 1 diabetes screening. Pediatric Diabetes 3(3):144–148

2. Mi S-Q (2011) Establishing and validating of type II diabetes incident prediction model of Chinese adult at individual level. Ph.D. dissertation, Chronic center, Chinese Center for Disease Control and Prevention, Beijing, China

3. Hong Y (2016) Research on diabetes prediction models based on machine learning algorithm. M.S. thesis, School of Management, Harbin Institute of Technology, Harbin, China

4. Nichols GA, Brown JB (2008) Validating the framingham offspring study equations for predicting incident diabetes mellitus. Am J Managed Care 14(9):574–580

5. Stern Michael P (2002) Identification of persons at high risk for type 2 diabetes mellitus: Do we need the oral glucose tolerance test? Ann Intern Med 136(8):575–581

Cited by 12 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A hybrid diabetes risk prediction model XGB-ILSO-1DCNN;Multimedia Tools and Applications;2024-09-12

2. Attention-Oriented CNN Method for Type 2 Diabetes Prediction;Applied Sciences;2024-05-08

3. RMLVQA: A Margin Loss Approach For Visual Question Answering with Language Biases;2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR);2023-06

4. Analysis and Recognition of Clinical Features of Diabetes Based on Convolutional Neural Network;Computational and Mathematical Methods in Medicine;2022-07-29

5. A hybrid cost-sensitive machine learning approach for the classification of intelligent disease diagnosis;Journal of Intelligent & Fuzzy Systems;2022-07-21

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3