CKD Progression Prediction in a Diverse US Population: A Machine-Learning Model-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

CKD Progression Prediction in a Diverse US Population: A Machine-Learning Model

Published:2023-09 Issue:9 Volume:5 Page:100692
ISSN:2590-0595
Container-title:Kidney Medicine
language:en
Short-container-title:Kidney Medicine

Author:

Aoki Joseph,Kaya Cihan,Khalid Omar,Kothari Tarush,Silberman Mark A.,Skordis Con,Hughes Jonathan,Hussong Jerry,Salama Mohamed E.

Funder

Maryland Environmental Service

Publisher

Elsevier BV

Subject

Nephrology,Internal Medicine

Reference54 articles.

1. Chronic kidney disease;Webster;Lancet,2017

2. Mechanisms of anemia in CKD;Babitt;J Am Soc Nephrol,2012

3. Prevalence of anemia in chronic kidney disease in the United States;Stauffer;PLoS One,2014

4. Diagnosis, evaluation, prevention, and treatment of chronic kidney disease-mineral and bone disorder: synopsis of the Kidney Disease: Improving Global Outcomes 2017 clinical practice guideline update;Ketteler;Ann Intern Med,2018

5. Metabolic bone disease in chronic kidney disease;Martin;J Am Soc Nephrol,2007

Cited by 5 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. Machine learning progressive CKD risk prediction model is associated with CKD-mineral bone disorder;Bone Reports;2024-09

2. Progression from Prediabetes to Diabetes in a Diverse U.S. Population: A Machine Learning Model;Diabetes Technology & Therapeutics;2024-04-24

3. Predicting chronic kidney disease progression using small pathology datasets and explainable machine learning models;2024-04-10

4. Estimating and predicting kidney function decline in the general population;2024-04-01

5. Predicting chronic kidney disease progression using small pathology datasets and explainable machine learning models;Computer Methods and Programs in Biomedicine Update;2024

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