30/07/2025
🎯This study explored the factors that influence how well individuals with type 2 diabetes and periodontitis respond to periodontal treatment. Using machine learning, researchers analyzed clinical trial data and compared several models - Random Forest stood out with strong accuracy and predictive performance. The findings showed that patients with better baseline health, including lower HbA1c levels, shallower periodontal pockets, and less attachment loss, had more favorable outcomes after six months. In essence, a combination of periodontal status, metabolic control, and demographic characteristics can help predict treatment response. These insights could support more personalized and effective dental care strategies.
🔗https://doi.org/10.1590/1678-7757-2025-0211