Preference Aware Smart Hospital Selection System for Patients

Md Solaiman Chowdhury, Jenifar Rahman, Md Mahfuzur Rahman

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


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.

Original languageEnglish
Title of host publication49th International Conference on Parallel Processing, ICPP 2020 - Workshop Proceedings
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450388689
StatePublished - 17 Aug 2020
Externally publishedYes

Publication series

NameACM International Conference Proceeding Series

Bibliographical note

Publisher Copyright:
© 2020 ACM.


  • Cloud & Mobile Application
  • Location based services
  • Optimization

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications


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