Early Stage Detection of Heart Failure Using Machine Learning Techniques
Author:
Publisher
Springer Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-16-6636-0_7
Reference28 articles.
1. Alexander CA, Wang L (2017) Big data analytics in heart attack prediction. J Nurs Care 6(393):2167–1168
2. Alom Z, Carminati B, Ferrari E (2018) Detecting spam accounts on twitter. In: 2018 IEEE/ACM international conference on advances in social networks analysis and mining (ASONAM). IEEE, pp 1191–1198
3. Atallah R, Al-Mousa A (2019) Heart disease detection using machine learning majority voting ensemble method. In: 2019 2nd international conference on new trends in computing sciences (ICTCS). IEEE, pp 1–6
4. Bhopal RS (2019) Epidemic of cardiovascular disease and diabetes: explaining the phenomenon in south Asians worldwide
5. Buettner R, Schunter M (2019) Efficient machine learning based detection of heart disease. In: 2019 IEEE international conference on e-health networking, application and services (HealthCom). IEEE, pp 1–6
Cited by 7 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. Towards Machine Learning Techniques for Enhanced Prediction of Coronary Artery Disease;2024 IEEE International Conference on Contemporary Computing and Communications (InC4);2024-03-15
2. Enhancing Heart Disease Prediction using Advanced Feature Engineering and Ensemble Learning Techniques;International Journal of Advanced Research in Science, Communication and Technology;2024-02-06
3. Predicting Heart Diseases Using Machine Learning and Different Data Classification Techniques;IEEE Access;2024
4. Machine learning-based smart wearable system for cardiac arrest monitoring using hybrid computing;Biomedical Signal Processing and Control;2024-01
5. Observation of Heart Attack Patients Utilizing Machine Learning with Monarch Butterfly Optimization and IoT;2023 26th International Conference on Computer and Information Technology (ICCIT);2023-12-13
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