Performance analysis of supervised classification models on heart disease prediction

Author:

Ogundepo Ezekiel AdebayoORCID,Yahya Waheed BabatundeORCID

Publisher

Springer Science and Business Media LLC

Subject

Software

Reference33 articles.

1. Libby P, Bonow RO, Mann DL, Tomaselli GF, Bhatt D, Solomon SD, Braunwald E (2021) Braunwald’s heart disease—E-book: a textbook of cardiovascular medicine. https://bit.ly/braunwald-heart-disease. Accessed 6 Nov 2022

2. Gandhi M, Singh SN (2015) Predictions in heart disease using techniques of data mining. In: 2015 International conference on futuristic trends on computational analysis and knowledge management (ABLAZE), pp 520–525

3. Hannah R, Max R (2018) Causes of death. Our World in Data. Retrieved from: https://ourworldindata.org/causes-of-death. Accessed 23 Feb 2022

4. Murphy SL, Xu J, Kochanek KD, Arias E, Tejada-Vera B (2021) Deaths: Final Data for 2018. National vital statistics reports: from the Centers for Disease Control and Prevention, National Center for Health Statistics, National Vital Statistics System, 69(13), 1–83

5. Fida B, Nazir M, Naveed N, Akram S (2011) Heart disease classification ensemble optimization using genetic algorithm. In: 2011 IEEE 14th international multitopic conference. IEEE, pp 19–24

Cited by 11 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. Heart disease prediction using machine learning, deep Learning and optimization techniques-A semantic review;Multimedia Tools and Applications;2024-07-05

2. Improving cardiovascular disease prediction: An optimized tree-based strategy using SMOTE;2024 4th International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET);2024-05-16

3. Comparative analysis of Machine Learning Techniques for the Detection of Heart Disease;2024 International Conference on Science, Engineering and Business for Driving Sustainable Development Goals (SEB4SDG);2024-04-02

4. Modeling the Turbidity Level of Asejire Reservoir Using Machine Learning Techniques;2024 International Conference on Science, Engineering and Business for Driving Sustainable Development Goals (SEB4SDG);2024-04-02

5. A Comprehensive Survey on Federated Learning in the Healthcare Area: Concept and Applications;Computer Modeling in Engineering & Sciences;2024

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