Abstract: The paper presents an approach to designing an intelligent system to be used in diabetes diagnostics as well as to creating a problem knowledge base for the system. The work also gives a description of constructing a decision tree for diabetes diagnostics and shows how to use it as a basis for generating knowledge base rules. Finally, the article also outlines how an intelligent diagnostic system works.

Keywords: neural networks, artificial intelligence, expert systems, hybrid systems, decision tree diabetes diagnostics.

Link:

A CONCEPT OF DESIGN PROCESS OF INTELLIGENT SYSTEM SUPPORTING DIABETES DIAGNOSTICS

Wioletta Szajnar, Galina Setlak

http://foibg.com/ibs_isc/ibs-20/ibs-20-p21.pdf