Healthcare
Al-Mansoori, M., K. Shaalan, and H. Tawfik,
"Using E-learning for helping children with diabetes",
The 7th International Conference on Innovations in Information Technology (Innovations’11), Abu Dhabi, United Arab Emirates, pp. 145-149, 26 April, 2011.
Abstract Diabetes is a common and costly condition disease that is associated with significant morbidity and mortality. Recent studies have shown remarkable increases in diabetes during the last decade. This has attracted many researchers and doctors to investigate e-learning technologies as a way of assisting people
with diabetes. However very little work exist that focus on educating children to adopt healthy lifestyle. As a result, this research work aims to create awareness of diabetes among children, and thereby, ultimately contribute to reducing the growing rate of diabetes. This paper presents an investigation into E-Learning systems and how it can help people with diabetes, especially when it comes to children who are largely unaware and poorly informed about the menace of the disease. This research addresses children’ needs expectations, and proposes a design of an E-Learning prototype that can raise their awareness and knowledge in order to help reduce the effects of this disease on children.
Shaalan, K., M. Al-Mansoori, H. Tawfik, and A. - H. Mohamed,
"Evaluation of an E-Learning Diabetes Awareness Prototype",
The International Conference on Developments in eSystems Engineering (DeSE’11), Dubai, United Arab Emirates, 7 December, 2011.
Abstract E-Learning has been increasingly used as a medium for promoting health awareness with successful outcomes. This paper reports on the design and evaluation of prototype that uses the potential of E-Learning to help children with diabetes. The pedagogical principle of the proposed prototype is raising the diabetes awareness among young children. The prototype evaluation results indicated that computer-based learning can generate positive learning and motivational attitudes in children. Children who were educated through the prototype were able to complete awareness tasks faster than those who were educated using traditional methods. The prototype has been found makes learning more fun, and allows children to learn at their own pace.
Anya, O., H. Tawfik, S. Amin, A. Nagar, and K. Shaalan,
"Context-Aware Knowledge Modelling for Decision Support in E-Health",
In the Proceedings of the International Joint Conference on Neural Networks (IJCNN 2010), Barcelona, Spain, IEEE, 21 July, 2010.
AbstractIn the context of e-health, professionals and healthcare service providers in various organisational and geographical locations are to work together, using information and communication systems, for the purpose of providing better patient-centred and technology-supported healthcare services at any time and from anywhere. However, various organisations and geographies have varying contexts of work, which are dependent on their local work culture, available expertise,available technologies, people's perspectives and attitudes and organisational and regional agendas. As a result, there is the need to ensure that a suggestion – information and knowledge –provided by a professional to support decision making in a different, and often distant, organisation and geography takes into cognizance the context of the local work setting in which the suggestion is to be used. To meet this challenge, we propose a framework for context-aware knowledge modelling in e-health,which we refer to as Context Morph. Context Morph combines the commonKADS knowledge modelling methodology with the concept of activity landscape and context-aware modelling techniques in order to morph, i.e. enrich and optimise, a knowledge resource to support decision making across various contexts of work. The goal is to integrate explicit information and tacit expert experiences across various work domains into a knowledge resource adequate for supporting the operational context of the work setting in which it is to be used.
