Lung cancer prediction model using ensemble learning techniques and a systematic review analysis
Author:
Affiliation:
1. University of South Dakota,Department of Computer Science,South Dakota,USA
2. Patient Financial Services Sanford Health,South Dakota,USA
3. University of South Dakota,Department of Basic Biomedical Sciences,South Dakota,USA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9817098/9817144/09817326.pdf?arnumber=9817326
Reference23 articles.
1. Detection of Lung Cancer using Machine Learning Techniques Based on Routine Blood Indices
2. The major effects of health-related quality of life on 5-year survival prediction among lung cancer survivors: applications of machine learning
3. Prediction of Lung Cancer Using Machine Learning Classifier
4. A Comparative Study of Lung Cancer Detection using Machine Learning Algorithms
5. A Machine Learning Method for Identifying Lung Cancer Based on Routine Blood Indices: Qualitative Feasibility Study
Cited by 42 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. Lung sound disease detection using attention over pre-trained efficientnet architecture;Multimedia Tools and Applications;2024-08-31
2. Usage of Machine Learning and Deep Learning for Lung Cancer Detection;Advances in Medical Technologies and Clinical Practice;2024-07-19
3. Enhancing medical image classification through controlled diversity in ensemble learning;Engineering Applications of Artificial Intelligence;2024-07
4. Distributed edge to cloud ensemble deep learning architecture to diagnose Covid-19 from lung image in IoT based e-Health system;The Journal of Supercomputing;2024-05-18
5. A Stochastic Computational Graph with Ensemble Learning Model for solving Controller Placement Problem in Software-Defined Wide Area Networks;Journal of Network and Computer Applications;2024-05
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