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Intelligent technique for knowledge reuse of dental medical records based on case-based reasoning.
Gu, Dong-Xiao; Liang, Chang-Yong; Li, Xing-Guo; Yang, Shan-Lin; Zhang, Pei.
Afiliación
  • Gu DX; School of management, HeFei University of Technology, HeFei 230009, People's Republic of China. dongxiaogu@yeah.net
J Med Syst ; 34(2): 213-22, 2010 Apr.
Article en En | MEDLINE | ID: mdl-20433059
With the rapid development of both information technology and the management of modern medical regulation, the generation of medical records tends to be increasingly intelligent. In this paper, Case-Based Reasoning is applied to the process of generating records of dental cases. Based on the analysis of the features of dental records, a case base is constructed. A mixed case retrieval method (FAIES) is proposed for the knowledge reuse of dental records by adopting Fuzzy Mathematics, which improves similarity algorithm based on Euclidian-Lagrangian Distance, and PULL & PUSH weight adjustment strategy. Finally, an intelligent system of dental cases generation (CBR-DENT) is constructed. The effectiveness of the system, the efficiency of the retrieval method, the extent of adaptation and the adaptation efficiency are tested using the constructed case base. It is demonstrated that FAIES is very effective in terms of reducing the time of writing medical records and improving the efficiency and quality. FAIES is also proven to be an effective aid for diagnoses and provides a new idea for the management of medical records and its applications.
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Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Registros Odontológicos / Sistemas de Registros Médicos Computarizados / Lógica Difusa Límite: Humans Idioma: En Revista: J Med Syst Año: 2010 Tipo del documento: Article Pais de publicación: Estados Unidos
Buscar en Google
Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Registros Odontológicos / Sistemas de Registros Médicos Computarizados / Lógica Difusa Límite: Humans Idioma: En Revista: J Med Syst Año: 2010 Tipo del documento: Article Pais de publicación: Estados Unidos