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

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 noticeab...

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Main Authors: Aliaga, Ignacio J., Vera, Vicente Jara, De Paz, Juan Francisco, Garcia, Alva, Mohamad, Mohd Saberi
Format: Article
Language:English
Published: Hindawi Publishing Corporation 2015
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://eprints.utm.my/id/eprint/58586/1/MohdSaberiMohamad2015_ModellingtheLongevityofDentalRestorations.pdf
http://eprints.utm.my/id/eprint/58586/
http://dx.doi.org/10.1155/2015/540306
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spelling my.utm.585862021-12-06T02:36:14Z http://eprints.utm.my/id/eprint/58586/ Modelling the Longevity of Dental Restorations by means of a CBR System Aliaga, Ignacio J. Vera, Vicente Jara De Paz, Juan Francisco Garcia, Alva Mohamad, Mohd Saberi QA75 Electronic computers. Computer science 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. Hindawi Publishing Corporation 2015 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/58586/1/MohdSaberiMohamad2015_ModellingtheLongevityofDentalRestorations.pdf Aliaga, Ignacio J. and Vera, Vicente Jara and De Paz, Juan Francisco and Garcia, Alva and Mohamad, Mohd Saberi (2015) Modelling the Longevity of Dental Restorations by means of a CBR System. Biomed Research International, 2015 . p. 540306. ISSN 2314-6133 http://dx.doi.org/10.1155/2015/540306 DOI:10.1155/2015/540306
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Aliaga, Ignacio J.
Vera, Vicente Jara
De Paz, Juan Francisco
Garcia, Alva
Mohamad, Mohd Saberi
Modelling the Longevity of Dental Restorations by means of a CBR System
description 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.
format Article
author Aliaga, Ignacio J.
Vera, Vicente Jara
De Paz, Juan Francisco
Garcia, Alva
Mohamad, Mohd Saberi
author_facet Aliaga, Ignacio J.
Vera, Vicente Jara
De Paz, Juan Francisco
Garcia, Alva
Mohamad, Mohd Saberi
author_sort Aliaga, Ignacio J.
title Modelling the Longevity of Dental Restorations by means of a CBR System
title_short Modelling the Longevity of Dental Restorations by means of a CBR System
title_full Modelling the Longevity of Dental Restorations by means of a CBR System
title_fullStr Modelling the Longevity of Dental Restorations by means of a CBR System
title_full_unstemmed Modelling the Longevity of Dental Restorations by means of a CBR System
title_sort modelling the longevity of dental restorations by means of a cbr system
publisher Hindawi Publishing Corporation
publishDate 2015
url http://eprints.utm.my/id/eprint/58586/1/MohdSaberiMohamad2015_ModellingtheLongevityofDentalRestorations.pdf
http://eprints.utm.my/id/eprint/58586/
http://dx.doi.org/10.1155/2015/540306
_version_ 1718926032121102336
score 13.211869

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