Neuro-Fuzzy Modeling: An Accurate and Interpretable Method for Predicting Bladder Cancer Progression
Author:
Affiliation:
1. Academic Urology Unit, University of Sheffield, Sheffield, United Kingdom
2. Department of Automatic Control and Systems Engineering, University of Sheffield, Sheffield, United Kingdom
Publisher
Ovid Technologies (Wolters Kluwer Health)
Subject
Urology
Reference20 articles.
1. Cancer statistics, 2001;Greenlee;CA Cancer J Clin,2001
2. Radical cystectomy in the treatment of invasive bladder cancer;Stein;J Clin Oncol,2001
3. Outcome of radical cystectomy for bladder cancer according to the disease type at presentation;Yiou;BJU Int,2002
4. Recurrence, progression and survival in bladder cancer. A retrospective analysis of 232 patients with greater than or equal to 5-year follow-up;Malmstrom;Scand J Urol Nephrol,1987
5. Identifying distinct classes of bladder carcinoma using microarrays;Dyrskjot;Nat Genet,2003
Cited by 31 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. Predicting non-muscle invasive bladder cancer outcomes using artificial intelligence: a systematic review using APPRAISE-AI;npj Digital Medicine;2024-04-18
2. Artificial intelligence approaches to physiological parameter analysis in the monitoring and treatment of non-communicable diseases: A review;Biomedical Signal Processing and Control;2024-01
3. A novel pathway to detect muscle-invasive bladder cancer based on integrated clinical features and VI-RADS score on MRI: results of a prospective multicenter study;La radiologia medica;2022-06-28
4. Artificial intelligence: A promising frontier in bladder cancer diagnosis and outcome prediction;Critical Reviews in Oncology/Hematology;2022-03
5. A systematic review of the applications of Expert Systems (ES) and machine learning (ML) in clinical urology;BMC Medical Informatics and Decision Making;2021-07-22
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