EvoCLINICAL: Evolving Cyber-Cyber Digital Twin with Active Transfer Learning for Automated Cancer Registry System

Author:

Lu Chengjie1,Xu Qinghua1,Yue Tao2,Ali Shaukat3,Schwitalla Thomas4,Nygård Jan5

Affiliation:

1. Simula Research Laboratory, Oslo, Norway / University of Oslo, Oslo, Norway

2. Simula Research Laboratory, Oslo, Norway

3. Simula Research Laboratory, Oslo, Norway / Oslo Metropolitan University, Oslo, Norway

4. Cancer Registry of Norway, Oslo, Norway

5. Cancer Registry of Norway, Oslo, Norway / UiT The Arctic University of Norway, Tromsø, Norway

Funder

Norges Forskningsråd

Publisher

ACM

Reference45 articles.

1. Facebook’s Cyber–Cyber and Cyber–Physical Digital Twins

2. A practical guide for using statistical tests to assess randomized algorithms in software engineering

3. Andrea Arcuri , Juan Pablo Galeotti , Bogdan Marculescu, and Man Zhang. 2021 . Evomaster : A search-based system test generation tool. Andrea Arcuri, Juan Pablo Galeotti, Bogdan Marculescu, and Man Zhang. 2021. Evomaster: A search-based system test generation tool.

4. Inactive learning?

5. Evaluation measures for models assessment over imbalanced data sets;Bekkar Mohamed;J Inf Eng Appl,2013

Cited by 6 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. Model‐based digital twins of medicine dispensers for healthcare IoT applications;Software: Practice and Experience;2024-01-15

2. Revolutionizing Healthcare: A Review Unveiling the Transformative Power of Digital Twins;IEEE Access;2024

3. Cognitive Digital Twins for Improving Security in IT-OT Enabled Healthcare Applications;Lecture Notes in Computer Science;2024

4. KDDT: Knowledge Distillation-Empowered Digital Twin for Anomaly Detection;Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering;2023-11-30

5. Automated Test Generation for Medical Rules Web Services: A Case Study at the Cancer Registry of Norway;Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering;2023-11-30

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