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Predicting the Effectiveness of Laser Therapy in Periodontal Diseases Using Machine Learning Models

Han Thi Ngoc Phan, Arjina Akter

This study evaluates the effectiveness of machine learning models in predicting the outcomes of laser therapy for periodontal diseases. Various algorithms, including Neural Networks, Gradient Boosting, Random Forest, and Support Vector Machine, were applied to a dataset containing clinical variables such as pocket depth and gingival inflammation.…