Preference Aware Smart Hospital Selection System for Patients

Md. Solaiman Chowdhury, Jenifar Rahman, Md. Mahfuzur Rahman
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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.
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。
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