Preference Aware Smart Hospital Selection System for Patients

Md. Solaiman Chowdhury, Jenifar Rahman, Md. Mahfuzur Rahman
{"title":"Preference Aware Smart Hospital Selection System for Patients","authors":"Md. Solaiman Chowdhury, Jenifar Rahman, Md. Mahfuzur Rahman","doi":"10.1145/3409390.3409391","DOIUrl":null,"url":null,"abstract":"With the rapid enhancement of wireless and mobile technologies, the context information of the user or environment can now easily be collected and analyzed to create useful services. The traditional healthcare facilities in most developing countries do not provide their medical services with equal quality. The patients face lots of difficulties in choosing the best-suited medical services or hospitals when they become sick. To make the proper decision for appropriate services, the patients need to consider many criteria that often create complexity. An efficient system is required to help the patients automatically accumulate the information necessary in making correct medical service selection. In this paper, we have proposed a preference-aware hospital selection model integrated into a cloud computing based context-aware system to satisfy the patients in selecting appropriate services. Through experimentation, we have shown that the developed system makes decisions accurately for the patients.","PeriodicalId":350506,"journal":{"name":"Workshop Proceedings of the 49th International Conference on Parallel Processing","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Workshop Proceedings of the 49th International Conference on Parallel Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3409390.3409391","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

With the rapid enhancement of wireless and mobile technologies, the context information of the user or environment can now easily be collected and analyzed to create useful services. The traditional healthcare facilities in most developing countries do not provide their medical services with equal quality. The patients face lots of difficulties in choosing the best-suited medical services or hospitals when they become sick. To make the proper decision for appropriate services, the patients need to consider many criteria that often create complexity. An efficient system is required to help the patients automatically accumulate the information necessary in making correct medical service selection. In this paper, we have proposed a preference-aware hospital selection model integrated into a cloud computing based context-aware system to satisfy the patients in selecting appropriate services. Through experimentation, we have shown that the developed system makes decisions accurately for the patients.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
患者偏好感知智能医院选择系统
随着无线和移动技术的快速发展,现在可以很容易地收集和分析用户或环境的上下文信息,以创建有用的服务。大多数发展中国家的传统保健设施不能提供同等质量的医疗服务。当病人生病时,他们在选择最适合的医疗服务或医院时面临许多困难。为了对适当的服务做出正确的决定,患者需要考虑许多通常会造成复杂性的标准。需要一个有效的系统来帮助患者自动积累必要的信息,以做出正确的医疗服务选择。在本文中,我们提出了一个基于偏好感知的医院选择模型,该模型与基于云计算的上下文感知系统相结合,以满足患者选择合适的服务。通过实验,我们已经证明开发的系统可以准确地为患者做出决策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Characterizing the Cost-Accuracy Performance of Cloud Applications Symmetric Tokens based Group Mutual Exclusion Fast Modeling of Network Contention in Batch Point-to-point Communications by Packet-level Simulation with Dynamic Time-stepping Exploiting Dynamism in HPC Applications to Optimize Energy-Efficiency Developing Checkpointing and Recovery Procedures with the Storage Services of Amazon Web Services
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1