Autism spectrum disorder screening for toddlers / Muhammad Hafizudin Abdul Hadi

Abdul Hadi, Muhammad Hafizudin (2020) Autism spectrum disorder screening for toddlers / Muhammad Hafizudin Abdul Hadi. Degree thesis, Universiti Teknologi MARA, Cawangan Melaka.

Abstract

Autism Spectrum Disorder (ASD) can be threatening if not treated properly. This syndrome commonly occurred in boys compared to girls. This also could happen only when their children age as late as four years old. EBI can help making a better prognosis to a larger scope. In this modern era, laboratory test is crucial to analyse any illness especially a critical syndrome like Autism Spectrum Disorder. Autism Spectrum Disorder Screening for Toddlers application is developed to screen and give knowledge of the behaviour and personality traits of the children with Autism Spectrum Disorder. Since twin pairs has higher percentage of inheritability compared to the normal children in a family, it can increase the chance of inheriting the ASD. Children with Autism Spectrum Disorder have a disruption in brain development as they are growing and it can affects one’s communication, interaction, behaviour, preference and interest with other people in their daily life, Usually, the father is not worried about the behaviour and social skill but stressed more on the syndrome’s seriousness affected on his children. Furthermore, teacher-student relationship plays an important role to polish up the quality of a student such as in academic, social behaviour and even emotion Artificial Intelligence rule-based technique is used to develop the project. The project is developed using Waterfall model which consists of 5 phases such as analysis, design, implementation, testing and maintenance. Use case diagram, flowchart, rule-based flowchart and sketch design are showed in the report. Blackbox testing is used for the functionality testing. In the future, database will be implemented to make the application to be real time.

Metadata

Item Type: Thesis (Degree)
Creators:
Creators
Email / ID Num.
Abdul Hadi, Muhammad Hafizudin
2017782791
Contributors:
Contribution
Name
Email / ID Num.
Thesis advisor
Mahzan, Sulaiman
UNSPECIFIED
Subjects: Q Science > QA Mathematics > Instruments and machines > Electronic Computers. Computer Science > Programming. Rule-based programming. Backtrack programming
Q Science > QA Mathematics > Instruments and machines > Electronic Computers. Computer Science > Operating systems (Computers) > Android
Divisions: Universiti Teknologi MARA, Melaka > Jasin Campus > Faculty of Computer and Mathematical Sciences
Keywords: Autism; Android; Blackbox; Waterfall model; Artificial intelligence; Rule-based
Date: 2020
URI: https://ir.uitm.edu.my/id/eprint/31560
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