Bias-reduced dental age estimation in children: Machine-learning evaluation and a novel constrained random forest adaptation of the Cameriere method.
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| Title: | Bias-reduced dental age estimation in children: Machine-learning evaluation and a novel constrained random forest adaptation of the Cameriere method. |
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| Authors: | Parlak ME; Department of Forensic Medicine, Faculty of Medicine, Niğde Ömer Halisdemir University, Niğde, Türkiye. Electronic address: eminparlak@ohu.edu.tr., Gümüşboğa ZŞ; Department of Pediatric Dentistry, Faculty of Dentistry, İnönü University, Malatya, Türkiye. Electronic address: zekiye.gumusboga@inonu.edu.tr., Gümüşboğa E; Department of Forensic Medicine, Faculty of Medicine, İnönü University, Malatya, Türkiye. Electronic address: erkal.gumusboga@inonu.edu.tr., Yılmaz M; Department of Forensic Medicine, Faculty of Medicine, İnönü University, Malatya, Türkiye. Electronic address: mesut.yilmaz@inonu.edu.tr., Aydan T; Department of Pediatric Dentistry, Faculty of Dentistry, Bingöl University, Bingöl, Türkiye. Electronic address: taydan@bingol.edu.tr. |
| Source: | Forensic science international [Forensic Sci Int] 2026 Aug; Vol. 385, pp. 112979. Date of Electronic Publication: 2026 Apr 20. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Elsevier Science Ireland Country of Publication: Ireland NLM ID: 7902034 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1872-6283 (Electronic) Linking ISSN: 03790738 NLM ISO Abbreviation: Forensic Sci Int Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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