In On WiratsinLalita NarupiyakulMahidol University2022-08-042022-08-042021-01-14ACM International Conference Proceeding Series. (2021), 53-562-s2.0-85101808858https://repository.li.mahidol.ac.th/handle/20.500.14594/76687Autism Spectrum Disorder (ASD) is a developmental disorder that restricts the development of behaviors, communication, and learning skills. People with ASD have difficulties in communicating and engaging with other people. Presently, a questionnaire called Autism Spectrum Quotient 10 (AQ-10) has been used to diagnose ASD symptoms for individuals [1]. However, using AQ-10 for ASD diagnosis is based on the observation from an individual's behavior and evaluate the result. It cannot show the outstanding attribute or relationship between ASD symptoms in different age-groups. Thus, this research proposed the novel feature selection technique for identifying the important attributes in AQ-10 results from three different age-groups, which are children at age of 7-12, adolescents at age of 13-20, and adults at age over 20. The results will represent the outstanding features and relationships between ASD symptoms in different age-groups, and lead to the proper design of ASD treatment programs for individuals.Mahidol UniversityComputer ScienceFeature Selection Technique for Autism Spectrum DisorderConference PaperSCOPUS10.1145/3448218.3448241