Document Type
Conference Item
Publication Date
7-1-2011
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.
Keywords
Diabetes diagnosis, intelligent system, rule-based reasoning, object-oriented methodology
Divisions
fsktm
Event Title
IADIS Multi Conference on Computer Science and Information Systems
Event Location
Rome, Italy
Event Dates
24-26 Jul 2011
Event Type
conference