HIGHLIGHTS
- What: This study attempts to enhance and automate the diagnostic process by employing a variety of machine learning techniques to identify the most critical characteristics of ASD. The study by Bousidrah et_al focused on the use of an ML framework that takes into account the diagnosis of ASD in children. The study describes all of the specific signs and symptoms of ASD, namely, impediments in repetitive behavior, social communication, and restricted interests.
- Who: user from the , Department of Software Engineering, Faculty of Information Technology, Al-Ahliyya Amman University, Amman, Jordan The Custodian of the Two . . .
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