TY - JOUR
T1 - Integrating data mining with case-based reasoning for chronic diseases prognosis and diagnosis
AU - Huang, Mu Jung
AU - Chen, Mu Yen
AU - Lee, Show Chin
N1 - Funding Information:
We thank the support of National Scientific Council (NSC) of the Republic of China (ROC) to this work under Grant No. NSC 91-2416-H-018-004. We also thank MJ health screening center for providing us health examination data.
PY - 2007/4
Y1 - 2007/4
N2 - The threats to people's health from chronic diseases are always exist and increasing gradually. How to decrease these threats is an important issue in medical treatment. Thus, this paper suggests a model of a chronic diseases prognosis and diagnosis system integrating data mining (DM) and case-based reasoning (CBR). The main processes of the system include: (1) adopting data mining techniques to discover the implicit meaningful rules from health examination data, (2) using the extracted rules for the specific chronic diseases prognosis, (3) employing CBR to support the chronic diseases diagnosis and treatments, and (4) expanding these processes to work within a system for the convenience of chronic diseases knowledge creating, organizing, refining, and sharing. The experiment data are collected from a professional health examination center, MJ health screening center, and implemented through the system for analysis. The findings are considered as helpful references for doctors and patients in chronic diseases treatments.
AB - The threats to people's health from chronic diseases are always exist and increasing gradually. How to decrease these threats is an important issue in medical treatment. Thus, this paper suggests a model of a chronic diseases prognosis and diagnosis system integrating data mining (DM) and case-based reasoning (CBR). The main processes of the system include: (1) adopting data mining techniques to discover the implicit meaningful rules from health examination data, (2) using the extracted rules for the specific chronic diseases prognosis, (3) employing CBR to support the chronic diseases diagnosis and treatments, and (4) expanding these processes to work within a system for the convenience of chronic diseases knowledge creating, organizing, refining, and sharing. The experiment data are collected from a professional health examination center, MJ health screening center, and implemented through the system for analysis. The findings are considered as helpful references for doctors and patients in chronic diseases treatments.
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U2 - 10.1016/j.eswa.2006.01.038
DO - 10.1016/j.eswa.2006.01.038
M3 - Article
AN - SCOPUS:33750992805
SN - 0957-4174
VL - 32
SP - 856
EP - 867
JO - Expert Systems With Applications
JF - Expert Systems With Applications
IS - 3
ER -