Healthcare Informatics Challenges: A Medical Diagnosis Using Multi Agent Coordination-Based Model for Managing the Conflicts in Decisions
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-58669-0_32
Reference24 articles.
1. O’Donoghue, J., Herbert, J.: Data management within mhealth environments: patient sensors, mobile devices, and databases. J. Data Inf. Qual. 4, 5:1–5:20 (2012). https://doi.org/10.1145/2378016.2378021
2. Hassan, M.K., El Desouky, A.I., Elghamrawy, S.M., Sarhan, A.M.: Big data challenges and opportunities in healthcare informatics and smart hospitals. In: Security in Smart Cities: Models, Applications, and Challenges 2019, pp. 3–26. Springer, Cham (2019)
3. Almurshidi, S.H., Abu-Naser, S.S.: Expert System for Diagnosing Breast Cancer. Al-Azhar University, Gaza, Palestine (2018)
4. ELGhamrawy, S.M.: Diagnosis and prediction model for COVID19 patients response to treatment based on convolutional neural networks and whale optimization algorithm using CT images. medRxiv, 1 January 2020
5. Shaju, S., Davis, D., Reshma, K.R.: A survey on computer aided techniques for diagnosing Alzheimer disease. In: 2016 International Conference on Circuit, Power and Computing Technologies (ICCPCT), 18 March 2016, pp. 1–4. IEEE (2016)
Cited by 4 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. A Fast Accurate Deep Learning Framework for Prediction of All Cancer Types;IEEE Access;2022
2. An Intelligent Cloud Computing Context-Aware Model for Remote Monitoring COVID-19 Patients Using IoT Technology;Studies in Systems, Decision and Control;2021-07-24
3. A Selected Deep Learning Cancer Prediction Framework;IEEE Access;2021
4. Optimized Deep Learning-Inspired Model for the Diagnosis and Prediction of COVID-19;Computers, Materials & Continua;2021
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