Balakrishnan, Vimala and Govindan, Vithyatheri (2011) An intelligent diagnostic system for diabetes using rule based reasoning and object-oriented methodology. In: IADIS Multi Conference on Computer Science and Information Systems, 24-26 Jul 2011, Rome, Italy.
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Abstract
Diabetes is one of the most prevalent chronic diseases with many short and long term complications. This paper presents an intelligent diagnostic system specifically developed for Type 1 and Type 2 diabetes, using rule-based reasoning and object-oriented methodology. The system accurately diagnoses Type 1 and Type 2 diabetes based on the sign-symptoms entered, and also provides an explanation to reasoning. We believe that great improvements can be provided to the medical practitioners and also the diabetics with the implementation of this system.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Funders: | UNSPECIFIED |
| Uncontrolled Keywords: | Diabetes diagnosis; intelligent system; rule-based reasoning; object-oriented methodology |
| Subjects: | T Technology > T Technology (General) |
| Divisions: | Faculty of Computer Science & Information Technology |
| Depositing User: | Mr. Mohd Samsul Ismail |
| Date Deposited: | 25 Feb 2015 01:09 |
| Last Modified: | 08 Jan 2020 07:56 |
| URI: | http://eprints.um.edu.my/id/eprint/12825 |
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