Health information are rapidly increasing every day due to the vast amount of medical researchers related to diseases, drugs and diagnosis. Currently, huge databases and medical websites provide medical related - information to the users. Despite the considerable number of these resources, physicians and medical information seekers still have problems finding relevant information due to the huge number of results returned by these methods. However, a number of attempts carried out to solved that problem by providing a specific medical information retrieval systems and medical applications those approach were well designed but also referred to number obstacles such as the large number of results disorganized of information, learning how to access catalogues, and learning resources Moreover, these methods were limited on some services and did not focused on the user needs. As result this study aims to introduce a generic framework that allows users to access medical information. The framework aims to provide personalized information to meet the user needs based on their profile the framework designed in order to address the problem of understanding the users’ needs and customizing the results in order to get to most relevant results that meet the user needs .the framework designed based on the principle of existing the communication system IMS and adapt the layer architecture and present a four main layered module; Access layer, control layer, application layer, finally smart layer which is designed for the purpose of personalizing the results. The designed framework will validated via simulations on a discrete event simulator for estimating the performance measures such as the delay and throughput under heavy load.
|Date of Award||Dec 2019|
- University of South Wales
|Supervisor||Andrew Ware (Supervisor) & Khalid Al-Begain (Supervisor)|