Dental Decision Support System Based on Knowledge Base

• Main Authors: Jeng-Hung Li, 李政宏
• Other Authors: Yuh-Jiuan Tsay
• Format: Others
• Language: zh-TW
• Published: 2004
• Online Access: http://ndltd.ncl.edu.tw/handle/65987017388949909167

碩士 === 國立屏東科技大學 === 資訊管理系 === 92 === In this thesis, we propose a dental decision support system based on knowledge base. In order to build the dental decision support system, the system explores the useful knowledge in the huge dental digital case histories by using the data mining technology. The content of preparation used in this thesis was: (1) to define and analyze the dental case history - to redefine and analyze the data fields of the case histories in the written form and national health insurance research database; (2) to build knowledge base - first rechoices the classed data and builds datasets by using data mining technology. After preprocessing, transferring and erasing noises from datasets, it will mining the knowledge and storing in distributed knowledge base automatically; (3) to establish decision support system — using the association rule based model analysis the associated information in dental case histories, and establishing the classified and shared authority of the dental knowledge; the dialog management sub system will be startup to query different kinds of model base and knowledge base when users have query demand and decision demand.