Abstract
This paper presents a diagnosis system that helps the dentists to decide the course of treatment for dental caries. The inference mechanism of the system is based on the Bayesian Network (BN) and is designed to decide among various possible treatment plans. The system has been evaluated with the help of 13 different dentists to test its operational effectiveness. The system improves the confidence level of a dentist while deciding the treatment plan. As a result, it improves the effectiveness of the dentist and his/her business. Using this system, patients can also get information regarding the nature of treatment and the associated cost as well.
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Mago, V.K., Prasad, B., Bhatia, A., Mago, A. (2008). A Decision Making System for the Treatment of Dental Caries. In: Prasad, B. (eds) Soft Computing Applications in Business. Studies in Fuzziness and Soft Computing, vol 230. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-79005-1_12
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DOI: https://doi.org/10.1007/978-3-540-79005-1_12
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