Document Details

Document Type : Thesis 
Document Title :
Developing a framework for e-healthcare applications using the semantic Internet of Things
تطوير إطار لتطبيقات الصحة الإلكترونية باستخدام إنترنت الأشياء الدلالي
 
Subject : Faculty of Computing and Information Technology 
Document Language : Arabic 
Abstract : Information technology has become a means of providing services to people. Smart device and a wireless sensor that connects to the internet is a form of new technology that will encourage interaction and machine-to-machine communication known as the internet of things (IoT). The health care as vital sectors interesting in utilizing new technology like IoT into the health field and medical gadgets to integrate them to improve the quality and performance of services. IoT has the ability to automatically collect data from various Heterogeneous sources, analyze and make the decision. The only dilemma in front of this technique is that in most situation, the connection protocol is not open and a given appliance cannot be integrated into other applications. We count that the Internet of Things with the interconnection of a huge number of “things” on the Internet, the health care domain can benefit from information representation that holds e-health Internet of Things, information and knowledge by setting the management of these collected data. In our study, we suppose a semantic backbone as the best solution to The Internet of Things to flourish that providing interoperability among the objects on the IoT. Our study aims to design and implement a framework that holds healthcare data, which can be used by e-healthcare applications with the help of mapping data into ontology entities and properties. A good e-healthcare application required better information representation and accurate diagnosis. Our framework with e-health ontology provides accurate information and efficient diagnosis. 
Supervisor : Dr. Bassam Zafar 
Thesis Type : Master Thesis 
Publishing Year : 1440 AH
2019 AD
 
Added Date : Tuesday, September 17, 2019 

Researchers

Researcher Name (Arabic)Researcher Name (English)Researcher TypeDr GradeEmail
صباح سعد الشهريAlshehri, Sabah SaadResearcherMaster 

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