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Predicting negative self-rated oral health in adults using machine learning: A longitudinal study in Southern Brazil
0
Zitationen
7
Autoren
2025
Jahr
Abstract
Our findings highlighted the potential of using machine learning to predict subjective oral health conditions. This model should be improved to make it feasible for real-world implementation, considering its limitations. The correct identification of individuals with negative self-rated oral health may support the development of targeted strategies focused on these at-risk groups.
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