DocumentCode
570270
Title
Intelligent health information system to empower patients with chronic diseases
Author
Islam, Shariful ; Freytag, G. ; Shankar, Raji
Author_Institution
Comput. & Electr. Eng. & Comput. Sci., Florida Atlantic Univ., Boca Raton, FL, USA
fYear
2012
fDate
8-10 Aug. 2012
Firstpage
734
Lastpage
737
Abstract
Semantic Web technologies can be utilized to keep patients informed on the latest research on chronic diseases such as diabetes, by gathering online information published by both government and corporate sources. To assemble our Intelligent Health Information System, we created an ontology of terms related to diabetes. Then we leveraged an open-source API to read the ontology into a graphical application, which we also built in an open-source development environment. The application searched for articles on diabetes using a web service and a web crawler. The ultimate goal for our system is to synthesize the information that it gathers, make it customer-specific, and present it to the patient in an easy to understand format.
Keywords
Web services; application program interfaces; bioinformatics; diseases; health care; medical information systems; ontologies (artificial intelligence); public domain software; semantic Web; Web crawler; Web service; biomedical informatics; chronic diseases; corporate sources; government sources; graphical application; intelligent health information system; online information gathering; ontology; open-source API; open-source development environment; patient empowerment; semantic Web technologies; Crawlers; Databases; Diabetes; OWL; Ontologies; Web services; Biomedical Informatics; Intelligent Health Information System; Semantic Web; Web Crawler; Web Services;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Reuse and Integration (IRI), 2012 IEEE 13th International Conference on
Conference_Location
Las Vegas, NV
Print_ISBN
978-1-4673-2282-9
Electronic_ISBN
978-1-4673-2283-6
Type
conf
DOI
10.1109/IRI.2012.6303085
Filename
6303085
Link To Document