Early Detection of Cardiac Disease Using Machine Learning

Author:

Chavda Paras,Bhavsar Harsh,Pithadia Yash,Kotecha Radhika

Publisher

Elsevier BV

Reference27 articles.

1. Responding to the threat of chronic diseases in India;S Reddy;The Lancet,2005

2. Cardiac statistics;V Fuster;Journal of the American College of Cardiology,2016

3. The Lancet Cardiology Collection;S Spencer;The Lancet, 2012. 2nd International Conference on Advances in Science & Technology

4. Two-year outcomes in patients admitted with non-ST elevation acute coronary syndrome: results of the OASIS registry 1 and 2;D Prabhakaran;Indian Heart Journal,2005

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. Hybridization of Artificial Neural Network with Spotted Hyena Optimization (SHO) Algorithm for Heart Disease Detection;Modeling and Optimization of Signals Using Machine Learning Techniques;2024-08-23

2. Exploring the Effectiveness of Various Machine Learning Models in Predicting Heart Failure: A Comparative Study;2024 2nd International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT);2024-01-04

3. CVD prediction on micro-controller: ECG morphology learning approach;Innovations in Systems and Software Engineering;2022-11-03

4. Towards Improving Patient Health Monitoring System using Machine Learning and Internet of Things;2021 International Conference on Advancements in Electrical, Electronics, Communication, Computing and Automation (ICAECA);2021-10-08

5. CDPS-IoT: Cardiovascular Disease Prediction System Based on IoT using Machine Learning;International Journal of Interactive Multimedia and Artificial Intelligence;2021

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