Dental services use prediction among adults in Southern Brazil: A gender and racial fairness-oriented machine learning approach

Our findings highlight the potential of machine learning models to predict dental service use with good overall accuracy. However, the significantly lower performance for mixed-race individuals raises concerns about fairness and equity. Therefore, despite promising results, the model requires further refinement before it can be applied in real-world public health settings.