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Predicting plaque-gingivitis risk in schoolchildren using an interpretable machine learning model: a cross-sectional study

Abstract Background This study aimed to develop an interpretable machine learning (ML) model for predicting plaque-induced gingivitis risk in schoolchildren using questionnaire data. To enhance the model’s interpretation, SHapley Additive exPlanations (SHAP) method was applied to analyze and explain...

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Principais autores: Linping Wu, Shaochen Su, El-Sayed Salama, Xuexia Ma, Liyuan Chen, Yuanming Wang
Format: Artigo
Sprog:Inglês
Udgivet: BMC 2025-12-01
Serier:BMC Oral Health
Fag:
Gingivitis
Machine learning
SHAP
Preventive dentistry
Risk stratification
Schoolchildren
Online adgang:https://doi.org/10.1186/s12903-025-07245-y
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