Evaluation of Autism Spectrum Disorder Based on the Healthcare by Using Artificial Intelligence Strategies

The behaviors of children with autism spectrum disorder (ASD) are often erratic and difficult to predict. Most the time, they unable communicate effectively in their own language. Instead, using hand gestures pointing phrases. Because this, it can be for caregivers grasp patients’ requirements, although early detection condition make this much simpler. Assistive technology Internet Things (IoT) alleviate absence verbal nonverbal communication community. IoT-based solutions use machine Learning (ML) deep learning (DL) algorithms diagnose enhance lives patients. A thorough review ASD techniques setting IoT devices is presented research. Identifying important trends health care research primary objective review. There also a technical taxonomy organizing current articles on methodologies based different factors such as AI, SS network, ML, IoT. On basis criteria accuracy sensitivity, statistical operational analyses examined presented.