AI-Enabled predictive health monitoring for children with autism using IOT and machine learning to detect behavioral changes

This is the authors' abstract. We don't add key points for this paper.

Children who have autism spectrum disorder (ASD) tend to have distinct behavioral and physiological characteristics that necessitate constant observation to facilitate interventions in time.Conventional techniques of behavior observation are tedious, subjective and can only be done in clinical settings.The paper contains a conceptual model of an AI-driven predictive health monitoring system combining Internet of Things (IoT) devices with machine learning models in order to recognize the behavioral changes in children with autism.The suggested system enables the utilization of wearable sensors, environmental devices, and the smart algorithms to gather multimodal data, detect anomalies, and provide predictions of the new tendencies in behavior.The anticipated results include better care provider support, increased clinical decision-making, and scalable means of real-time, in-home monitoring.