Title :
Towards an Online Diabetes Type II Self Management System: Ontology Framework
Author :
Ahmed, Almabrok Saleh
Author_Institution :
Fac. of Inf. Technol., UNIRAZAK (Univ. Tun Abdul Razak), Kuala Lumpur, Malaysia
Abstract :
Healthcare and biomedical systems usually require a high level of collaboration amongst health and medical entities. Maintaining consistency within this collaborative framework is a hurdle faced by healthcare and biomedical professionals. Diabetes has been a serious health problem in all over the world for many years. There are two main types of diabetes, type I and type II. Type II diabetes is the most common type of diabetes and globally about 90% of all cases of diabetes are type II diabetes. Type II diabetes is one of the most common chronic "lifestyle" diseases with a high prevalence throughout the world. Diabetes ontology describes the concepts and relationships between the concepts derived from the corpus of healthcare domain specific diabetes knowledge and linking with other standardized healthcare systems. Our proposed ontology framework consists of three main layers of diabetes type II, diabetes type II knowledge provider and patient.
Keywords :
diseases; groupware; health care; medical information systems; ontologies (artificial intelligence); biomedical systems; chronic lifestyle diseases; collaborative framework; healthcare domain specific diabetes knowledge; online diabetes type II self management system; ontology framework; Collaboration; Diabetes; Diseases; Medical diagnostic imaging; Ontologies; Sugar; biomedical; diabetes; diabetes ontology; healthcare; ontolgoy; patient;
Conference_Titel :
Computational Intelligence, Communication Systems and Networks (CICSyN), 2011 Third International Conference on
Conference_Location :
Bali
Print_ISBN :
978-1-4577-0975-3
Electronic_ISBN :
978-0-7695-4482-3
DOI :
10.1109/CICSyN.2011.21