A CBR system for diabetes mellitus diagnosis: case-base standard data model
by Shaker El-Sappagh; Mohammed Elmogy; Alaa Eldin M. Riad
International Journal of Medical Engineering and Informatics (IJMEI), Vol. 7, No. 3, 2015

Abstract: Diabetes is the sixth chronic disease causing death all over the world. The early diagnosis of diabetes is a critical step in diabetes care process. Clinical decision support system (CDSS) based on case-based reasoning (CBR) helps in early detection and diagnosis of diabetes. Building CBR's case-base knowledge is the most critical challenge. On the other hand, electronic health record (EHR) is considered as the complete source of patient cases. This paper proposes a standard case-base relational data model for diabetes diagnosis based on HL7 RIM, EHR, and SNOMED CT. This model will collect all patient clinical data from distributed EHRs, and it will formulate it in the form of problem-solution. This case-base knowledge will be used as the knowledge base for a diabetes diagnosis CBR system.

Online publication date: Sat, 27-Jun-2015

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Medical Engineering and Informatics (IJMEI):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com