Prognostic factors identification using machine learning in temporomandibular disorder treatment responders

The identified prognostic factors highlight the multidimensional nature of TMD and support their relevance in guiding patient-specific management strategies. The integration of machine learning approaches may enhance clinical decision-making and contribute to the development of more personalized and effective treatment pathways for TMD.