Development of an open case-based decision-support system for diagnosis in oral pathology
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Data
2007-05-01
Autores
Borra, R. C. [UNESP]
Andrade, P. M.
Correa, L. [UNESP]
Novelli, M. D. [UNESP]
Título da Revista
ISSN da Revista
Título de Volume
Editor
Blackwell Publishing
Resumo
Making diagnoses in oral pathology are often difficult and confusing in dental practice, especially for the lessexperienced dental student. One of the most promising areas in bioinformatics is computer-aided diagnosis, where a computer system is capable of imitating human reasoning ability and provides diagnoses with an accuracy approaching that of expert professionals. This type of system could be an alternative tool for assisting dental students to overcome the difficulties of the oral pathology learning process. This could allow students to define variables and information, important to improving the decision-making performance. However, no current open data management system has been integrated with an artificial intelligence system in a user-friendly environment. Such a system could also be used as an education tool to help students perform diagnoses. The aim of the present study was to develop and test an open case-based decisionsupport system.Methods: An open decision-support system based on Bayes' theorem connected to a relational database was developed using the C++ programming language. The software was tested in the computerisation of a surgical pathology service and in simulating the diagnosis of 43 known cases of oral bone disease. The simulation was performed after the system was initially filled with data from 401 cases of oral bone disease.Results: the system allowed the authors to construct and to manage a pathology database, and to simulate diagnoses using the variables from the database.Conclusion: Combining a relational database and an open decision-support system in the same user-friendly environment proved effective in simulating diagnoses based on information from an updated database.
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Palavras-chave
decision-support system, artificial intelligence, oral bone diseases, Bayes' theorem
Como citar
European Journal of Dental Education. Oxford: Blackwell Publishing, v. 11, n. 2, p. 87-92, 2007.