Machine Learning Models for Identifying Dental Pain in Adolescents.

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Bibliographic Details
Title: Machine Learning Models for Identifying Dental Pain in Adolescents.
Authors: Chisini LA; Graduate Program in Dentistry, Federal University of Pelotas, Rio Grande do Sul, Pelotas, Brazil; Radboud University Medical Center, Department of Dentistry, Nijmegen, The Netherlands. Electronic address: luiz.a.Chisini@radboudumc.nl., Salvi LC; Radboud University Medical Center, Department of Dentistry, Nijmegen, The Netherlands; Graduate Program in Biotechnology, Technological Development Center, Federal University of Pelotas, Pelotas, Rio Grande do Sul, Brazil., Costa FDS; Graduate Program in Biotechnology, Technological Development Center, Federal University of Pelotas, Pelotas, Rio Grande do Sul, Brazil., Mendes FM; Department of Pediatric Dentistry, University of São Paulo, São Paulo, Brazil., Pinto LFDS; Post-Graduation Program, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil., Cenci MS; Radboud University Medical Center, Department of Dentistry, Nijmegen, The Netherlands., Pereira-Cenci T; Radboud University Medical Center, Department of Dentistry, Nijmegen, The Netherlands., Demarco FF; Graduate Program in Dentistry, Federal University of Pelotas, Rio Grande do Sul, Pelotas, Brazil; Radboud University Medical Center, Department of Dentistry, Nijmegen, The Netherlands.
Source: International dental journal [Int Dent J] 2026 Jun; Vol. 76 (3), pp. 109469. Date of Electronic Publication: 2026 Mar 13.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Country of Publication: England NLM ID: 0374714 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1875-595X (Electronic) Linking ISSN: 00206539 NLM ISO Abbreviation: Int Dent J Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1875-595X
DOI:10.1016/j.identj.2026.109469