M2DM (multi access services for telematic management of diabetes mellitus, http://www. labmedinfo.org/research/m2dm/m2dm.htm) is an EU-funded telemedicine project that aims at increasing the quality of diabetes care by improving communication between patients and caregivers. As part of this project, we have undertaken the initial work of describing the necessary requirements (framework) of an advanced educational component for M2DM in accordance with the latest Semantic Web concepts. This paper describes our proposed semantic framework for educational content management, customisation and delivery. A big internet challenge today is to find and push situation and user-specific quality knowledge to users based on their actual individual needs, circumstances and profiles at any given time. We believe that the semantic framework presented in this paper could be a good step towards meeting this challenge. Benefits for users, both developers and end users, of adopting such framework are also discussed. The ideas discussed in this paper could be easily adapted to other similar services besides M2DM and to different health topics besides diabetes mellitus.

A proposed semantic framework for diabetes education content management, customisation and delivery within the M2DM project

BELLAZZI, RICCARDO;
2006-01-01

Abstract

M2DM (multi access services for telematic management of diabetes mellitus, http://www. labmedinfo.org/research/m2dm/m2dm.htm) is an EU-funded telemedicine project that aims at increasing the quality of diabetes care by improving communication between patients and caregivers. As part of this project, we have undertaken the initial work of describing the necessary requirements (framework) of an advanced educational component for M2DM in accordance with the latest Semantic Web concepts. This paper describes our proposed semantic framework for educational content management, customisation and delivery. A big internet challenge today is to find and push situation and user-specific quality knowledge to users based on their actual individual needs, circumstances and profiles at any given time. We believe that the semantic framework presented in this paper could be a good step towards meeting this challenge. Benefits for users, both developers and end users, of adopting such framework are also discussed. The ideas discussed in this paper could be easily adapted to other similar services besides M2DM and to different health topics besides diabetes mellitus.
2006
Computer Science & Engineering includes resources on computer hardware and architecture, computer software, software engineering and design, computer graphics, programming languages, theoretical computing, computing methodologies, broad computing topics, and interdisciplinary computer applications.
The Endocrinology, Metabolism & Nutrition category is concerned with resources on the growth and regulation of the human body. Coverage focuses on disorders associated with endocrine glands such as diabetes, osteoporosis, and obesity. Nutrition resources focus on topics such as diagnosis, treatment, and management of nutritional and metabolic disorders. Reproductive endocrinology is excluded and is placed in the Reproductive Medicine category.
The AI, Robotics & Automatic Control category is concerned with resources on the research and techniques of artificial intelligence; that is, the creation of machines that exhibit characteristics of human intelligence (e.g., efficient representation of knowledge, reasoning, deduction, problem solving, heuristics, and analysis of contradictory or ambiguous information). Related AI technologies include expert systems, fuzzy systems, natural language processing, speech and pattern recognition, computer vision, decision-support systems, knowledge-bases, and neural networks. Robotics resources are concerned with the design, construction, and operation of robots. Automatic Control resources cover the design and development of regulating processes and systems that replace the necessity of human intervention. Topics include adaptive control, robust control, discrete-event control, dynamic control, fuzzy control, and optimal control. Cybernetics resources are concerned with the control and communication within and between artificial (machine) systems and living or natural systems.
Sì, ma tipo non specificato
Inglese
Internazionale
STAMPA
83
3
188
197
10
Tematica Ex SIR: Telemedicina (Classif. Ex SIR:Articoli su riviste ISI )
Medical Informatics; telemedicine; Diabetes Mellitus
8
info:eu-repo/semantics/article
262
KAMEL BOULOS, M. N.; Harvey, F. E.; Roudsari, A. V.; Bellazzi, Riccardo; Hernando, M. E.; Deutsch, T.; Cramp, D. G.; Carson, E. R.
1 Contributo su Rivista::1.1 Articolo in rivista
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11571/134734
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