A machine learning-based assistant tool for early frailty screening of patients receiving maintenance hemodialysis-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

A machine learning-based assistant tool for early frailty screening of patients receiving maintenance hemodialysis

Published:2023-05-25 Issue:1 Volume:56 Page:223-235
ISSN:1573-2584
Container-title:International Urology and Nephrology
language:en
Short-container-title:Int Urol Nephrol

Author:

Lv Wenmei,Liao Hualong,Wang Xue,Yu Shaobin,Peng Yuan,Li Xianghong,Fu Ping,Yuan Huaihong,Chen Yu^ORCID

Funder

the National Key R&D Program of China

Major Research Programs of Science & Technology Department of Sichuan Province

West China Nursing Discipline Development Special Fund Project, Sichuan University

Project of Sichuan Luzhou Science and Technology Bureau

Publisher

Springer Science and Business Media LLC

Subject

Urology,Nephrology

Link

https://link.springer.com/content/pdf/10.1007/s11255-023-03640-y.pdf

Reference38 articles.

1. Bikbov B et al (2020) Global, regional, and national burden of chronic kidney disease, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet 395(10225):709–733. https://doi.org/10.1016/s0140-6736(20)30045-3

2. Nixon AC et al (2018) Frailty and chronic kidney disease: current evidence and continuing uncertainties. Clin Kidney J 11(2):236–245. https://doi.org/10.1093/ckj/sfx134

3. Kojima G, Liljas AEM, Iliffe S (2019) Frailty syndrome: implications and challenges for health care policy. Risk Manag Healthc Policy 12:23–30. https://doi.org/10.2147/rmhp.S168750

4. Yoneki K et al (2019) Association between frailty and bone loss in patients undergoing maintenance hemodialysis. J Bone Miner Metab 37(1):81–89. https://doi.org/10.1007/s00774-017-0898-4

5. Lorenz EC et al (2021) Frailty in CKD and transplantation. Kidney International Reports 6(9):2270–2280. https://doi.org/10.1016/j.ekir.2021.05.025

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