Comparative Study of Machine Learning Algorithms for Breast Cancer Prediction - A Review
Author:
Affiliation:
1. Computer Engineering Department, MPSTME, NMIMS, Shirpur, District: Dhule, Maharashtra, India
2. Assistant Professor, Computer Engineering Department, MPSTME, NMIMS, Shirpur, District: Dhule, Maharashtra, India
Abstract
Publisher
Technoscience Academy
Subject
General Medicine
Reference17 articles.
1. G. Williams, “Descriptive and Predictive Analytics”, Data Min. with Ratt. R Art,Excav. Data Knowl. Discov. Use R, pp. 193-203, 2011.
2. K. Kourou, T. P. Exarchos, K. P. Exarchos, M. V. Karamouzis, and D. I. Fotiadis,“Machine learning applications in cancer prognosis and prediction,” Comput. Struct.,Biotechnol. J., vol. 13, pp. 8-17, 2015.
3. K. Kourou etal Computational and Structural Biotechnology Journalxxx (2014).
4. B. Networks, F. Faltin, and R. Kenett, “Bayesian Networks,” Encycl. Stat. Qual.,Reliab., vol. 1, no. 1, p. 4, 2007.
5. S.Kanta Sarkar, A.N., "Identifying patients at risk of breast cancer through decision trees", International Journal of Advanced Research in Computer Science.,Vol. 08, pp. 88-96, 2017.
Cited by 8 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. Exploring Machine Learning Approaches for Breast Cancer Prediction: A Comparative Analysis with ANOVA-Based Feature Selection;2024 4th International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET);2024-05-16
2. Comparative Analysis of Machine Learning Methods for Multi-Year CVD Prediction;2023 International Conference on Smart Applications, Communications and Networking (SmartNets);2023-07-25
3. Prediction of breast cancer using machine learning algorithms on different datasets;Ingenieria Solidaria;2023-06-14
4. Breast Cancer Detection with Machine Learning-A Review;2023 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS);2023-03-23
5. Breast Cancer Detection Using a PSO-ANN Machine Learning Technique;Advances in Medical Technologies and Clinical Practice;2022-10-14
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