Multiple screen addiction and neurological complaints in adolescents: A machine learning-based classification model

Multi-screen addiction is closely linked to numerous neurological complaints, and machine learning can effectively uncover and analyze this association. As a foundational step, this study paves the way for family physicians and healthcare professionals to utilize machine learning in calculating individuals' addiction scores, monitoring addiction patterns, and providing personalized recommendations.