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Can we predict orthodontic extraction patterns by using machine learning?
Leavitt, Landon; Volovic, James; Steinhauer, Lily; Mason, Taylor; Eckert, George; Dean, Jeffrey A; Dundar, M Murat; Turkkahraman, Hakan.
Affiliation
  • Leavitt L; Department of Orthodontics and Oral Facial Genetics, Indiana University School of Dentistry, Indianapolis, Indiana, USA.
  • Volovic J; Department of Orthodontics and Oral Facial Genetics, Indiana University School of Dentistry, Indianapolis, Indiana, USA.
  • Steinhauer L; Indiana University School of Dentistry, Indianapolis, Indiana, USA.
  • Mason T; Department of Orthodontics and Oral Facial Genetics, Indiana University School of Dentistry, Indianapolis, Indiana, USA.
  • Eckert G; Department of Biostatistics and Health Data Science, Indiana University School of Medicine, Indianapolis, Indiana, USA.
  • Dean JA; Department of Pediatric Dentistry, Indiana University School of Dentistry, Indianapolis, Indiana, USA.
  • Dundar MM; School of Science, Department of Computer & Information Science, Indiana University Purdue University at Indianapolis, Indianapolis, Indiana, USA.
  • Turkkahraman H; Department of Orthodontics and Oral Facial Genetics, Indiana University School of Dentistry, Indianapolis, Indiana, USA.
Orthod Craniofac Res ; 26(4): 552-559, 2023 Nov.
Article in En | MEDLINE | ID: mdl-36843547
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Overbite / Malocclusion Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Orthod Craniofac Res Journal subject: ODONTOLOGIA / ORTODONTIA Year: 2023 Document type: Article Affiliation country: United States Country of publication: United kingdom
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Overbite / Malocclusion Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Orthod Craniofac Res Journal subject: ODONTOLOGIA / ORTODONTIA Year: 2023 Document type: Article Affiliation country: United States Country of publication: United kingdom