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This systematic review examines the application of data fusion and artificial intelligence for the automated detection of nine developmental and mental disorders in children, including Autism, ADHD, and Depression. The paper discusses the challenges and future directions in utilizing physiological signals for detection, highlighting the importance of early intervention due to the rising prevalence of mental health issues among youth. It emphasizes the need for effective detection systems to improve treatmen

Author

prf.soliman

Language

EN