Use of machine learning to predict early biochemical recurrence after robot-assisted prostatectomy
Author:
Affiliation:
1. Division of Urology; Department of Surgery; McMaster University; Hamilton ON Canada
Publisher
Wiley
Subject
Urology
Link
http://onlinelibrary.wiley.com/wol1/doi/10.1111/bju.14477/fullpdf
Reference12 articles.
1. Natural history of progression after PSA elevation following radical prostatectomy;Pound;JAMA,1999
2. Predicting the future - big data, machine learning, and clinical medicine;Obermeyer;N Engl J Med,2016
3. Variation in the definition of biochemical recurrence in patients treated for localized prostate cancer: the American Urological Association Prostate Guidelines for Localized Prostate Cancer Update Panel report and recommendations for a standard in the reporting of surgical outcomes;Cookson;J Urol,2007
4. Scikit-learn: machine Learning in Python;Pedregosa;J Mach Learn Res,2011
5. Impact of positive surgical margins on prostate cancer recurrence and the use of secondary cancer treatment: data from the CaPSURE database;Grossfeld;J Urol,2000
Cited by 67 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. Artificial intelligence in urology: a technology with transformative potential;Trends in Urology & Men's Health;2024-08-13
2. Current advances in the use of artificial intelligence in predicting and managing urological complications;International Urology and Nephrology;2024-07-09
3. Machine learning algorithm predicts urethral stricture following transurethral prostate resection;World Journal of Urology;2024-05-15
4. Limited prognostic role of routine serum markers (AP, CEA, LDH and NSE) in oligorecurrent prostate cancer patients undergoing PSMA-radioguided surgery;World Journal of Urology;2024-04-24
5. Artificial Intelligence in Urology;Urologic Clinics of North America;2024-02
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