By Mustafa Esam Mohammed
Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder that impairs an individual’s social, communication and learning abilities. Every year, the World Health Organization diagnoses autism globally in one out of every 160 children.
The diagnosis of ASD is very important in the early stages of life, which prompted researchers to intensify efforts to reach the best solutions.
The research methodology can discuss the direction of the thesis in three phases. Firstly, the identification and preprocessing of the ASD dataset to prepare the data for the next phase. After that, the second phase is the development of hybrid diagnosis models constructed based on feature selection approaches and ML algorithms. Finally, the third phase is the evaluation and benchmarking framework for the developed hybrid diagnosis ML models.