Cardiac disease prediction using AI algorithms with SelectKBest
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Biomedical Engineering
Link
https://link.springer.com/content/pdf/10.1007/s11517-023-02918-8.pdf
Reference53 articles.
1. Domanski M, Lloyd-Jones D, Fuster V, Grundy S (2011) Can we dramatically reduce the incidence of coronary heart disease? Nat Rev Cardiol 8(12). https://doi.org/10.1038/nrcardio.2011.158
2. Heidenreich PA et al (2011) Forecasting the future of cardiovascular disease in the United States: a policy statement from the American Heart Association. Circulation 123(8). https://doi.org/10.1161/CIR.0b013e31820a55f5
3. R. Kones (2011) Primary prevention of coronary heart disease: integration of new data, evolving views, revised goals, and role of rosuvastatin in management. A comprehensive survey. Drug Des Devel Ther 5. https://doi.org/10.2147/DDDT.S14934
4. López-Sendón J (2011) The heart failure epidemic. Medicographia 33:363–369
5. Vanisree K, Singaraju J (2011) Decision support system for congenital heart disease diagnosis based on signs and symptoms using neural networks. Int J Comput Appl 19(6):6–12. https://doi.org/10.5120/2368-3115
Cited by 6 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 emotional experiences and dataset construction in the era of short videos based on physiological signals;Biomedical Signal Processing and Control;2024-10
2. Development and evaluation of a model for predicting the risk of healthcare-associated infections in patients admitted to intensive care units;Frontiers in Public Health;2024-09-12
3. Solar Radiation Prediction: A Comprehensive Analysis of Machine Learning Models and Interpretability Techniques;2024 IEEE International Conference on Information Technology, Electronics and Intelligent Communication Systems (ICITEICS);2024-06-28
4. Constructing small sample datasets with game mixed sampling and improved genetic algorithm;The Journal of Supercomputing;2024-06-04
5. Enhancing Reliability in Smart Agriculture: Detecting Failures and Anomalies in Irrigation System;2024 International Wireless Communications and Mobile Computing (IWCMC);2024-05-27
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