Applying machine learning methods to develop a successful aging maintenance prediction model based on physical fitness tests
Author:
Affiliation:
1. Jiangxi Province Key Laboratory of Preventive Medicine Nanchang University Nanchang China
2. School of Community Health Sciences University of Nevada Reno Reno Nevada USA
Funder
National Natural Science Foundation of China
Publisher
Wiley
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1111/ggi.13926
Reference28 articles.
1. Global Aging With Pride: International Perspectives on LGBT Aging
2. Study of the prevalence and disease burden of chronic disease in the elderly in China;Wang LM;Chin J Epidemol,2019
3. Study on activities of daily living disability in community‐dwelling older adults in China;Zhang H;Chin J Epidemol,2019
4. Application of artificial neural network model in diagnosis of Alzheimer’s disease
5. Horizontal Inequity in Health Care Utilization among the Middle-Aged and Elderly in China
Cited by 14 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. Towards successful aging classification using machine learning algorithms;F1000Research;2024-04-03
2. Developing an intelligent prediction system for successful aging based on artificial neural networks;International Journal of Preventive Medicine;2024-02
3. Design of risk prediction model for esophageal cancer based on machine learning approach;Heliyon;2024-01
4. Multi-classification of national fitness test grades based on statistical analysis and machine learning;PLOS ONE;2023-12-22
5. Using an adaptive network-based fuzzy inference system for prediction of successful aging: a comparison with common machine learning algorithms;BMC Medical Informatics and Decision Making;2023-10-19
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