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.
|Title of host publication||49th International Conference on Parallel Processing, ICPP 2020 - Workshop Proceedings|
|Publisher||Association for Computing Machinery|
|State||Published - 17 Aug 2020|
|Name||ACM International Conference Proceeding Series|
Bibliographical notePublisher Copyright:
© 2020 ACM.
- Cloud & Mobile Application
- Location based services
ASJC Scopus subject areas
- Human-Computer Interaction
- Computer Vision and Pattern Recognition
- Computer Networks and Communications