A neuro-fuzzy based healthcare framework for disease analysis and prediction
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-022-12369-2.pdf
Reference36 articles.
1. Agrawal A, Pandey AK, Baz A, Alhakami H, Alhakami W, Kumar R, Khan RA (2020) Evaluating the security impact of healthcare Web applications through fuzzy based hybrid approach of multi-criteria decision-making analysis. IEEE Access 8:135770–135783
2. Ahmed H, Younis EM, Hendawi A, Ali A (2019) Heart disease identification from patients’ social posts, machine learning solution on Spark. Future Gener Comput Syst. https://doi.org/10.1016/j.future.2019.09.056
3. Boyd D, Kate C (2012) Critical questions for big data: Provocations for a cultural, technological, and scholarly phenomenon. Inf Commun Soc 15(5):662–679
4. Chawla NV, Davis DA (2013) Bringing big data to personalized healthcare: a patient-centered framework. J Gen Intern Med Framework 28(3):660–665
5. Cheng CW, Chanani N, Venugopalan J, Maher K, Wang MD (2013)icuARM-An ICU clinical decision support system using association rule mining. IEEE J Trans Eng Health Med 1:4400110
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. Performance evaluation of ferro-fluids flooding in enhanced oil recovery operations based on machine learning;Engineering Applications of Artificial Intelligence;2024-06
2. Using the method of artificial neural networks for integration into the decision support system as a tool for optimizing outpatient management of patients with chronic obstructive pulmonary disease;Medical Herald of the South of Russia;2024-03-14
3. An optimal heart disease prediction using chaos game optimization-based recurrent neural model;International Journal of Information Technology;2023-12-06
4. Assessing the impacts of climate change on streamflow dynamics: A machine learning perspective;Water Science & Technology;2023-10-25
5. Streamflow forecasting for the Hunza river basin using ANN, RNN, and ANFIS models;Water Practice & Technology;2023-04-21
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