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Multidimensional Scaling for Orthodontic Root Resorption

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dc.contributor.author Preoteasa, Cristina Teodora
dc.contributor.author Lonescu, Ecaterina
dc.contributor.author Preoteasa, Elena
dc.contributor.author Tenreiro Machado, J. A.
dc.contributor.author Baleanu, Mihaela Cristina
dc.contributor.author Baleanu, Dumitru
dc.date.accessioned 2020-04-02T15:53:53Z
dc.date.available 2020-04-02T15:53:53Z
dc.date.issued 2013
dc.identifier.citation Preoteasa, Cristina Teodora...et al. (2013). "Multidimensional Scaling for Orthodontic Root Resorption",Mathematıcal Problems In Engineering. tr_TR
dc.identifier.issn 1024-123X
dc.identifier.issn 1563-5147
dc.identifier.uri http://hdl.handle.net/20.500.12416/2839
dc.description.abstract 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. tr_TR
dc.language.iso eng tr_TR
dc.publisher Hindawi LTD tr_TR
dc.relation.isversionof 10.1155/2013/383698 tr_TR
dc.rights info:eu-repo/semantics/openAccess tr_TR
dc.subject Maxillary Incisors tr_TR
dc.subject Prevalence tr_TR
dc.title Multidimensional Scaling for Orthodontic Root Resorption tr_TR
dc.type article tr_TR
dc.relation.journal Mathematıcal Problems In Engineering tr_TR
dc.contributor.authorID 56389 tr_TR
dc.contributor.department Çankaya Üniversitesi, Fen Edebiyat Fakültesi, Matematik Bölümü tr_TR


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