A robust machine learning framework to identify signatures for frailty: a nested case-control study in four aging European cohorts
Author:
Funder
European Union’s Seventh Framework Programme
Publisher
Springer Science and Business Media LLC
Subject
Geriatrics and Gerontology,Aging
Link
https://link.springer.com/content/pdf/10.1007/s11357-021-00334-0.pdf
Reference60 articles.
1. Liu L-K, Guo C-Y, Lee W-J, Chen L-Y, Hwang A-C, Lin M-H, et al. Subtypes of physical frailty: Latent class analysis and associations with clinical characteristics and outcomes. Sci Rep. 2017;7(1):46417.
2. Davies B, García F, Ara I, Artalejo FR, Rodriguez-Mañas L, Walter S. Relationship Between sarcopenia and frailty in the toledo study of healthy aging: a population based cross-sectional study. J Am Med Dir Assoc. 2018;19(4):282–6.
3. Searle SD, Mitnitski A, Gahbauer EA, Gill TM, Rockwood K. A standard procedure for creating a frailty index. BMC Geriatr. 2008;8(1):24.
4. 3C Study Group. Vascular factors and risk of dementia: design of the Three-City Study and baseline characteristics of the study population. Neuroepidemiology. 2003;22(6):316–25.
5. Justice JN, Ferrucci L, Newman AB, Aroda VR, Bahnson JL, Divers J, et al. A framework for selection of blood-based biomarkers for geroscience-guided clinical trials: report from the TAME Biomarkers Workgroup. GeroScience. 2018;40(5–6):419–36.
Cited by 39 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. Disability and Quality of Life Measures in older frail and prefrail people with type 2 diabetes. The MIDFRAIL-Study;Diabetes Research and Clinical Practice;2024-08
2. High Throughput Plasma Proteomics and Risk of Heart Failure and Frailty in Late Life;JAMA Cardiology;2024-07-01
3. Biomarkers of frailty;Molecular Aspects of Medicine;2024-06
4. Explainable machine learning framework for biomarker discovery by combining biological age and frailty prediction (Preprint);2024-05-09
5. Development and validation of machine learning models to predict frailty risk for elderly;Journal of Advanced Nursing;2024-04-11
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