Prediction of chronic kidney disease and its progression by artificial intelligence algorithms
Author:
Funder
Ministero dell’Istruzione, dell’Università e della Ricerca
Publisher
Springer Science and Business Media LLC
Subject
Nephrology
Link
https://link.springer.com/content/pdf/10.1007/s40620-022-01302-3.pdf
Reference74 articles.
1. Levey AS, Atkins R, Coresh J et al (2007) Chronic kidney disease as a global public health problem: approaches and initiatives—a position statement from kidney disease improving global outcomes. Kidney Int 72:247–259. https://doi.org/10.1038/sj.ki.5002343
2. Global burden of disease study (2013) Collaborators (2015) global, regional, and national incidence, prevalence, and years lived with disability for 301 acute and chronic diseases and injuries in 188 countries, 1990–2013: a systematic analysis for the global burden of disease study 2013. Lancet 386:743–800. https://doi.org/10.1016/S0140-6736(15)60692-4
3. Lozano R, Naghavi M, Foreman K et al (2012) Global and regional mortality from 235 causes of death for 20 age groups in 1990 and 2010: a systematic analysis for the global burden of disease study 2010. Lancet 380:2095–2128. https://doi.org/10.1016/S0140-6736(12)61728-0
4. McIntyre NJ, Fluck R, McIntyre C, Taal M (2012) Treatment needs and diagnosis awareness in primary care patients with chronic kidney disease. Br J Gen Pract 62:e227–e232. https://doi.org/10.3399/bjgp12X636047
5. Liberati A, Altman DG, Tetzlaff J et al (2009) The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate healthcare interventions: explanation and elaboration. BMJ 339:b2700. https://doi.org/10.1136/bmj.b2700
Cited by 21 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. Interpretation of Artificial Intelligence Models in Healthcare;Journal of Ultrasound in Medicine;2024-07-19
2. Statistical Analysis of Renal Risk Factors and Prediction of Chronic Kidney Disease;SN Computer Science;2024-04-14
3. Knowledge and Perception of Artificial Intelligence among Faculty Members and Students at Batterjee Medical College;Journal of Pharmacy and Bioallied Sciences;2024-04
4. Machine learning models for predicting the onset of chronic kidney disease after surgery in patients with renal cell carcinoma;BMC Medical Informatics and Decision Making;2024-03-22
5. Machine learning for classifying chronic kidney disease and predicting creatinine levels using at-home measurements;2024-03-18
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