Intelligent Generation Technique Of Dental Medical Records Based On CBR

The generation of medical records is of great importance in medical activities. With the rapid development of information technology and the management of modern medical institutions, the generation of medical records tends to be increasingly intelligent. To a great extent, the generation of medical records depends on the previous experience and knowledge of medical staff .Thus its efficiency and quality can be greatly improved by inheriting and reusing these experience and knowledge and by referring to the typical modes of medical records and medical cases. In this paper, CBR is applied in the process of generating record of dental cases, and a new method which is based on case inference is proposed.First, the present management of medical records and relevant problems are analyzed, and the pattern of dental records and its characteristics are studied. Then, the frame of intelligent generation technique of dental medical is constructed after introducing CBR and programming dental cases. Based on the analysis of the features of dental records, the method of case inference is proposed and the case base is constructed. Thus mixed case retrieval is proposed for dental records by adopting fuzzy mathematics and by improving similarity algorithm based on Eulerian-Lagrangian distance, and an optimal method is presented. At the same time, according to the features of dental records, Ruler-based adaptation is suggested. Finally, the CBR-DCH system is constructed and the effectiveness of the system, the efficiency of retrieval method, the extent of adaptation and adaptation efficiency are tested by using original case base.It is demonstrated that the method proposed is greatly effective because it can reduce the time of writing medical record, improve its efficiency and it is an effective aid for diagnoses. Moreover a new method is provided for the electronic management of medical records and its application.