Advertisement
Published in:
2012 | OriginalPaper | Chapter
Comparison of Rules Synthesis Methods Accuracy in the System of Type 1 Diabetes Prediction
Author : Rafal Deja
Published in: Internet - Technical Developments and Applications 2
Publisher: Springer Berlin Heidelberg
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
While creating the decision support system we encounter the classification accuracy problem. In the paper author compares the accuracy of two rules synthesis algorithms based on the rough set theory. This comparison is based on the medical support system that goal is to predict the illness among the children with genetic susceptibility to DMT1. The system can help to recommend including a person to pre-diabetes therapy.