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...

Full description

Bibliographic Details
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:
Online Access:http://eprints.utm.my/58586/1/MohdSaberiMohamad2015_ModellingtheLongevityofDentalRestorations.pdf
_version_ 1796860538049789952
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.
collection ePrints
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.
first_indexed 2024-03-05T19:42:51Z
format Article
id utm.eprints-58586
institution Universiti Teknologi Malaysia - ePrints
language English
last_indexed 2024-03-05T19:42:51Z
publishDate 2015
publisher Hindawi Publishing Corporation
record_format dspace
spelling utm.eprints-585862021-12-06T02:36:14Z http://eprints.utm.my/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/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
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
title 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_short 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
topic QA75 Electronic computers. Computer science
url http://eprints.utm.my/58586/1/MohdSaberiMohamad2015_ModellingtheLongevityofDentalRestorations.pdf
work_keys_str_mv AT aliagaignacioj modellingthelongevityofdentalrestorationsbymeansofacbrsystem
AT veravicentejara modellingthelongevityofdentalrestorationsbymeansofacbrsystem
AT depazjuanfrancisco modellingthelongevityofdentalrestorationsbymeansofacbrsystem
AT garciaalva modellingthelongevityofdentalrestorationsbymeansofacbrsystem
AT mohamadmohdsaberi modellingthelongevityofdentalrestorationsbymeansofacbrsystem