Machine learning for predicting long-term kidney allograft survival: a scoping review
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s11845-020-02332-1.pdf
Reference38 articles.
1. Yang C, Qi R, Yang B (2019) Pathogenesis of chronic allograft dysfunction progress to renal fibrosis. Adv Exp Med Biol 1165:101–116
2. Joosten SA, Sijpkens YW, van Kooten C, Paul LC (2005) Chronic renal allograft rejection: pathophysiologic considerations. Kidney Int 68(1):1–13
3. Filippone EJ, McCue PA, Farber JL (2018) Transplant glomerulopathy. Modern Pathol : an official journal of the United States and Canadian Academy of Pathology, Inc 31(2):235–252
4. Afzali B, Taylor AL, Goldsmith DJ (2005) What we CAN do about chronic allograft nephropathy: role of immunosuppressive modulations. Kidney Int 68(6):2429–2443
5. Solez K, Colvin RB, Racusen LC, Sis B, Halloran PF, Birk PE, Campbell PM, Cascalho M, Collins AB, Demetris AJ, Drachenberg CB, Gibson IW, Grimm PC, Haas M, Lerut E, Liapis H, Mannon RB, Marcus PB, Mengel M, Mihatsch MJ, Nankivell BJ, Nickeleit V, Papadimitriou JC, Platt JL, Randhawa P, Roberts I, Salinas-Madriga L, Salomon DR, Seron D, Sheaff M, Weening JJ (2007) Banff‘05 meeting report: differential diagnosis of chronic allograft injury and elimination of chronic allograft nephropathy (‘CAN’). Am J Transplant 7(3):518–526
Cited by 12 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. Establishing a differential diagnosis model between primary membranous nephropathy and non-primary membranous nephropathy by machine learning algorithms;Renal Failure;2024-07-22
2. Table 2 Fallacy in Descriptive Epidemiology: Bringing Machine Learning to the Table;International Journal of Environmental Research and Public Health;2023-06-21
3. A Machine Learning Approach Reveals Distinct Predictors of Vaping Dependence for Adolescent Daily and Non-Daily Vapers in the COVID-19 Era;Healthcare;2023-05-18
4. Machine learning does not outperform traditional statistical modelling for kidney allograft failure prediction;Kidney International;2023-05
5. Toward generalizing the use of artificial intelligence in nephrology and kidney transplantation;Journal of Nephrology;2022-12-22
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