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Modelling the Longevity of Dental Restorations by means of a CBR System

Aliaga, Ignacio J. and Vera, Vicente Jara and De Paz, Juan Francisco and Garcia, Alva (2015) Modelling the Longevity of Dental Restorations by means of a CBR System. Biomed Research International, 2015 . ISSN 2314-6133

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Official URL: http://dx.doi.org/10.1155/2015/540306

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.

Item Type:Article
Uncontrolled Keywords:bayes theorem, dental restoration, permanent, humans, models, biological, neural networks (computer)
Subjects:A General Works
ID Code:58586
Deposited By: Haliza Zainal
Deposited On:04 Dec 2016 12:07
Last Modified:22 Feb 2017 11:58

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