ASD Prediction

Computer science

The proposed system uses multiple AI-based methods to develop a complete Autism Spectrum Disorder (ASD) prediction system which helps doctors identify autism early and make better diagnoses and provide better care for children with autism. The neurodevelopmental disorder ASD presents doctors with difficulties when they need to diagnose it because the condition shows wide variations in behavioral and cognitive and physiological symptoms. The system includes three connected modules which focus on specific age ranges and information categories to fill this knowledge deficiency. The first module uses machine learning models to study 0–3 year old infants and toddlers by analyzing their developmental milestones and social behaviors and sensory reactions and interaction methods which serve as essential signs for developing ASD characteristics. The second module examines children between 4 and 11 years old by studying their speech habits and mental abilities and social skills and adaptive responses to monitor their behavior development across different ages. The system uses Convolutional Neural Networks (CNNs) to run a deep-learning image classification model which evaluates facial expressions and gaze patterns and visual behavioral cues that show hidden ASD characteristics which standard assessment tools cannot detect. The system uses behavioral data together with developmental information and visual evidence to create an advanced prediction system which delivers precise results while eliminating human judgment errors that produce incorrect positive or negative results. The platform operates with scalability while providing easy access to users who need to use it in areas with restricted access to specialized diagnostic facilities. The system updates its knowledge base through new data entries to stay relevant with current research findings about ASD. The system provides users with two main functions which include prediction and individualized recommendations for starting treatment and developing therapy plans and caring for their children. The project works to enhance autism detection at an early stage while providing ongoing developmental assistance which results in better life quality for people with autism.

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