ArticleJournal of medical systems2010
Intelligent technique for knowledge reuse of dental medical records based on case-based reasoning.
Article in Journal of medical systems, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Similarity measures and attribute selection for case-based reasoning in transcatheter aortic valve implantation.PloS one · 2020Article
- A rank weighted classification for plasma proteomic profiles based on case-based reasoning.BMC medical informatics and decision making · 2018Article
- An ontological case base engineering methodology for diabetes management.Journal of medical systems · 2014Article
- Collaborative case-based reasoning for knowledge discovery of elders health assessment system.The open biomedical engineering journal · 2014Article
- Discovering medical knowledge using association rule mining in young adults with acute myocardial infarction.Journal of medical systems · 2013Article
- Electronic hand-drafting and picture management system.Journal of medical systems · 2012Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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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Registered trials
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