Abstract:
As the technology grows rapidly, many
people take a great interest in computer and then computerbased
methods are increasingly used to improve the quality of
the medical services. Human experts in medical field are
frequently in great demand. Nowadays, medical diagnosis
reasoning is a very important application area of computerbased
system. The primary goal of this thesis is to develop a
case-based system where a new patient could be quickly
compared to the numerous cases in the databases. The objective
is to find the closest match that can be reused to support a
problem and makes a decision based on CBR problem solving
cycle. It uses the TCBR approach for case retrieval and revises
the retrieved case solution by using adaptation rules. The system
can also retain the successful case solution for future assistance.
Case-based reasoning methodology presents a foundation for a
new technology of building intelligent computer aided diagnosis
systems. In this paper we identify the strength .
