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Review
. 2015:2015:540306.
doi: 10.1155/2015/540306. Epub 2015 Mar 19.

Modelling the longevity of dental restorations by means of a CBR system

Affiliations
Review

Modelling the longevity of dental restorations by means of a CBR system

Ignacio J Aliaga et al. Biomed Res Int. 2015.

Abstract

The lifespan of dental restorations is limited. Longevity depends on the material used and the different characteristics of the dental piece. However, it is not always the case that the best and longest lasting material is used since patients may prefer different treatments according to how noticeable the material is. Over the last 100 years, the most commonly used material has been silver amalgam, which, while very durable, is somewhat aesthetically displeasing. Our study is based on the collection of data from the charts, notes, and radiographic information of restorative treatments performed by Dr. Vera in 1993, the analysis of the information by computer artificial intelligence to determine the most appropriate restoration, and the monitoring of the evolution of the dental restoration. The data will be treated confidentially according to the Organic Law 15/1999 on 13 December on the Protection of Personal Data. This paper also presents a clustering technique capable of identifying the most significant cases with which to instantiate the case-base. In order to classify the cases, a mixture of experts is used which incorporates a Bayesian network and a multilayer perceptron; the combination of both classifiers is performed with a neural network.

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Figures

Figure 1
Figure 1
(a) Posterior tooth preparation for amalgam restoration. (b) Posterior tooth restored with amalgam. (c) Posterior tooth preparation for composite restoration. (d) Posterior tooth restored with composite.
Figure 2
Figure 2
(a) A failed amalgam restoration on a posterior tooth. (b) Posterior tooth amalgam restoration has been redone. (c) A failed composite restoration on a posterior tooth. (d) Posterior tooth composite restoration has been redone.
Figure 3
Figure 3
Final estimate based on the output values of the classifiers.
Figure 4
Figure 4
CBR system architecture.

References

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