Multidimensional Scaling for Orthodontic Root Resorption

The paper investigates the risk factors for the severity of orthodontic root resorption. The multidimensional scaling (MDS) visualization method is used to investigate the experimental data from patients who received orthodontic treatment at the Department of Orthodontics and Dentofacial Orthopedics...

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Main Authors: Cristina Teodora Preoteasa, Ecaterina Ionescu, Elena Preoteasa, J. A. Tenreiro Machado, Mihaela Cristina Baleanu, Dumitru Baleanu
Format: Article
Language:English
Published: Hindawi Limited 2013-01-01
Series:Mathematical Problems in Engineering
Online Access:http://dx.doi.org/10.1155/2013/383698
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spelling doaj-b4224e3c06a74be7b299b75b51b816102020-11-24T22:46:10ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472013-01-01201310.1155/2013/383698383698Multidimensional Scaling for Orthodontic Root ResorptionCristina Teodora Preoteasa0Ecaterina Ionescu1Elena Preoteasa2J. A. Tenreiro Machado3Mihaela Cristina Baleanu4Dumitru Baleanu5Faculty of Dental Medicine, University of Medicine and Pharmacy Carol Davila, 010232 Bucharest, RomaniaFaculty of Dental Medicine, University of Medicine and Pharmacy Carol Davila, 010232 Bucharest, RomaniaFaculty of Dental Medicine, University of Medicine and Pharmacy Carol Davila, 010232 Bucharest, RomaniaInstitute of Engineering, Polytechnic of Porto, Department of Electrical Engineering, 431 Dr. Antonio Bernardino de Almeida Street, 4200-072 Porto, PortugalMihail Sadoveanu Theoretical High School, District 2, Popa Lazar Street, No. 8, 021586 Bucharest, RomaniaDepartment of Mathematics and Computer Sciences, Faculty of Arts and Sciences, Cankaya University, Balgat, 06530 Ankara, TurkeyThe paper investigates the risk factors for the severity of orthodontic root resorption. The multidimensional scaling (MDS) visualization method is used to investigate the experimental data from patients who received orthodontic treatment at the Department of Orthodontics and Dentofacial Orthopedics, Faculty of Dentistry, “Carol Davila” University of Medicine and Pharmacy, during a period of 4 years. The clusters emerging in the MDS plots reveal features and properties not easily captured by classical statistical tools. The results support the adoption of MDS for tackling the dentistry information and overcoming noise embedded into the data. The method introduced in this paper is rapid, efficient, and very useful for treating the risk factors for the severity of orthodontic root resorption.http://dx.doi.org/10.1155/2013/383698
collection DOAJ
language English
format Article
sources DOAJ
author Cristina Teodora Preoteasa
Ecaterina Ionescu
Elena Preoteasa
J. A. Tenreiro Machado
Mihaela Cristina Baleanu
Dumitru Baleanu
spellingShingle Cristina Teodora Preoteasa
Ecaterina Ionescu
Elena Preoteasa
J. A. Tenreiro Machado
Mihaela Cristina Baleanu
Dumitru Baleanu
Multidimensional Scaling for Orthodontic Root Resorption
Mathematical Problems in Engineering
author_facet Cristina Teodora Preoteasa
Ecaterina Ionescu
Elena Preoteasa
J. A. Tenreiro Machado
Mihaela Cristina Baleanu
Dumitru Baleanu
author_sort Cristina Teodora Preoteasa
title Multidimensional Scaling for Orthodontic Root Resorption
title_short Multidimensional Scaling for Orthodontic Root Resorption
title_full Multidimensional Scaling for Orthodontic Root Resorption
title_fullStr Multidimensional Scaling for Orthodontic Root Resorption
title_full_unstemmed Multidimensional Scaling for Orthodontic Root Resorption
title_sort multidimensional scaling for orthodontic root resorption
publisher Hindawi Limited
series Mathematical Problems in Engineering
issn 1024-123X
1563-5147
publishDate 2013-01-01
description The paper investigates the risk factors for the severity of orthodontic root resorption. The multidimensional scaling (MDS) visualization method is used to investigate the experimental data from patients who received orthodontic treatment at the Department of Orthodontics and Dentofacial Orthopedics, Faculty of Dentistry, “Carol Davila” University of Medicine and Pharmacy, during a period of 4 years. The clusters emerging in the MDS plots reveal features and properties not easily captured by classical statistical tools. The results support the adoption of MDS for tackling the dentistry information and overcoming noise embedded into the data. The method introduced in this paper is rapid, efficient, and very useful for treating the risk factors for the severity of orthodontic root resorption.
url http://dx.doi.org/10.1155/2013/383698
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AT ecaterinaionescu multidimensionalscalingfororthodonticrootresorption
AT elenapreoteasa multidimensionalscalingfororthodonticrootresorption
AT jatenreiromachado multidimensionalscalingfororthodonticrootresorption
AT mihaelacristinabaleanu multidimensionalscalingfororthodonticrootresorption
AT dumitrubaleanu multidimensionalscalingfororthodonticrootresorption
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