Early deteCTION OF aUTISM SPECTRUM DISORDER (asd) FOR CHILDRENUsing Rule Based System
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What is autism spectrum disorder (ASD)?
In recent years, people nowadays have exposed with a complex neurological disorder which is Autism Spectrum Disorder(ASD). Due to the awareness of ASD, American Academy of Paediatric (AAP) had standardized the tools to detect early signs of ASD for children in 18-24 months which M-CHART-R. However, parents nowadays face difficulties to realize their kid's problem because urban parents nowadays are confronted with a hectic life where they sometimes take for granted of their children growth process. The goal of this project is to design a system which can help parents to check if their kid has early signs and symptoms of Autism Spectrum Disorder (ASD) and develop a system which uses a rule-based algorithm based on 20 questions in the M-CHART-R questionnaire for parents. Another aim of this project is to develop the project based on the technique proposed. This project; it will use the waterfall method as it will have an advantage where more time in finding need before start to develop it and will use the rule-based system in artificial intelligence which can decide if their children have Autism Spectrum Disorder (ASD). This project will be able to detect the early signs of ASD among the children without the assist from clinicians. Expected outcomes from this project are the parents can get the report for their child early detection for ASD and can know which level of risk of ASD for their children. Also, parents also can decide either to continue to the next level of ASD evaluation based on the needed. As for the conclusion, an early sign of autism spectrum disorder (ASD) is possible to predict using the rule-based system algorithm in the current and necessary because of the evidence-based shows that early prediction and intervention can improve the children with ASD life quality in the future.
Methodology
What is methodology?
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