Abstract
Autism spectrum disorder (ASD) is a neurodevelopmental disorder characterized by deficits in social interaction, communication, and repetitive behaviors. Caring for children with ASD presents a unique set of challenges that require specialized care and constant monitoring [1]. Advances in machine learning (ML), a subset of artificial intelligence, have opened new avenues in healthcare, particularly in the personalized care and treatment of individuals with ASD. This article explores the application of ML in the nursing care of autistic children, focusing on its potential to improve diagnosis, treatment, and overall quality of life [2].
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