DocumentCode :
613634
Title :
Leveraging semantic web to retrieve customized medical information
Author :
Islam, Shariful ; Freytag, G. ; Shankar, Raji
Author_Institution :
Comput. & Electr. Eng. & Comput. Sci., Florida Atlantic Univ., Boca Raton, FL, USA
fYear :
2013
fDate :
15-18 April 2013
Firstpage :
258
Lastpage :
261
Abstract :
We are developing a web based application for use by diabetes patients to manage their chronic condition. The application will allow patients to keep abreast of the latest developments as pertinent to their specific condition (type, risk factors, medication, history, preferences, etc.), interact with others in a community of users, and have more effective dialog with their health care providers. This paper will document our recent developmental efforts to incorporate semantic web concepts and health information technology infrastructure.
Keywords :
health care; information retrieval; medical information systems; semantic Web; chronic condition management; diabetes patient; health information technology infrastructure; medical information retrieval; semantic Web; Communities; Databases; Diabetes; OWL; Ontologies; Health IT; Semantic Web; Semantic Web Rule Language; Web Ontology Language;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems Conference (SysCon), 2013 IEEE International
Conference_Location :
Orlando, FL
Print_ISBN :
978-1-4673-3107-4
Type :
conf
DOI :
10.1109/SysCon.2013.6549891
Filename :
6549891
Link To Document :
بازگشت