國立雲林科技大學
National Yunlin University of Science and Technology
Integrating data mining with case-based
reasoning for chronic diseases prognosis and
diagnosis
Advisor ：Dr. Hsu
Presenter：Chien-Shing Chen
Author: Mu-Jung Huang
Mu-Yen Chen
Show-Chin Lee
2006, Expert Systems with Applications
Intelligent Database Systems Lab
N.Y.U.S.T.
I. M.
Outline
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Motivation
Objective
Introduction
CDPD architecture
Conclusions
Personal Opinion
Intelligent Database Systems Lab
N.Y.U.S.T.
I. M.
Motivation
1.
2.
The threats to People’s health from chronic
diseases are always exist and increasing gradually.
construct a model to integrate data mining (DM)
and case-based reasoning (CBR)
Intelligent Database Systems Lab
N.Y.U.S.T.
I. M.
Objective
adopting data mining techniques to discover the
implicit meaning from rules from health examination
data
using the extracted rules for the specific chronic
diseases prognosis
employing CBR to support the chronic diseases
diagnosis(診斷) and treatments(治療)
expanding these process to work within a system
Intelligent Database Systems Lab
N.Y.U.S.T.
I. M.
Introduction
Characterize a case
How cases are stored in the case library
retrieve from library
Old knowledge need to be fixed to fit the new one
New problem is solved-> store it
Adapting old solutions to meet new demands, using old
cases to explain new situations
Intelligent Database Systems Lab
N.Y.U.S.T.
I. M.
Introduction
Intelligent Database Systems Lab
N.Y.U.S.T.
I. M.
Modify the retrieved case to solve
the problems of the new case
Intelligent Database Systems Lab
N.Y.U.S.T.
I. M.
implementation
after preprocess, 15,751 records, 28 fields
class level: the target chronic diseases, stroke,
cardiopathy, hypertension, and diabetes mellitus, are
also classified,
Intelligent Database Systems Lab
N.Y.U.S.T.
I. M.
Performance
stroke:
Intelligent Database Systems Lab
N.Y.U.S.T.
I. M.
Performance
Intelligent Database Systems Lab
N.Y.U.S.T.
I. M.
Performance
Intelligent Database Systems Lab
N.Y.U.S.T.
I. M.
Performance
Intelligent Database Systems Lab
N.Y.U.S.T.
I. M.
Performance
Intelligent Database Systems Lab
N.Y.U.S.T.
I. M.
Conclusion
helpful
integration
retrieve the most similar case from the case library
CDPD
Intelligent Database Systems Lab
N.Y.U.S.T.
I. M.
Opinion
Drawback
nature things
Application
existing professional knowledge well, anything what you
want could be done.
Future Work
Intelligent Database Systems Lab