Random tree algorithm to analyse the relation between type of traumatic dental injuries and its demographic and predisposing factors - A cross-sectional study.

Khan, Mohammad Kamran; Jindal, Mahendra Kumar

Khan, Mohammad Kamran; Jindal, Mahendra Kumar.

Affiliation

Khan MK; Department of Pediatric and Preventive Dentistry, Faculty of Medicine, Aligarh Muslim University (AMU), Aligarh, Uttar Pradesh, India.
Jindal MK; Department of Pediatric and Preventive Dentistry, Faculty of Medicine, Aligarh Muslim University (AMU), Aligarh, Uttar Pradesh, India.

Indian J Dent Res ; 34(2): 114-118, 2023.

Article in En | MEDLINE | ID: mdl-37787195

Subject(s)

Overbite; Tooth Injuries; Adolescent; Child; Humans; Algorithms; Artificial Intelligence; Causality; Cross-Sectional Studies; Demography; Overbite/complications; Prevalence; Tooth Injuries/epidemiology; Tooth Injuries/etiology; Male; Female

Key words

Artificial intelligence (AI); machine learning (ML); predisposing factors; random tree classifier; type of dental trauma

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Tooth Injuries / Overbite Type of study: Clinical_trials / Observational_studies / Prevalence_studies / Prognostic_studies / Qualitative_research / Risk_factors_studies Limits: Adolescent / Child / Female / Humans / Male Language: En Journal: Indian J Dent Res Journal subject: ODONTOLOGIA Year: 2023 Document type: Article Affiliation country: India Country of publication: India

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