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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2013-01-01
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Series: | Mathematical Problems in Engineering |
Online Access: | http://dx.doi.org/10.1155/2013/383698 |
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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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