Diagnosis of Autism Spectrum Disorder: A Review of Three Focused Interventions

• Published in: SN computer science Vol. 4; no. 2; p. 139
• Main Authors: Sujana, D. Swainson, Augustine, D. Peter
• Format: Journal Article
• Language: English
• Published: Singapore Springer Nature Singapore 01.03.2023; Springer Nature B.V
• Subjects: Advances in Computational Intelligence; Age; Algorithms; Autism; Birth weight; Brain research; Child development; Children & youth; Computer Imaging; Computer Science; Computer Systems Organization and Communication Networks; Data Structures and Information Theory; Diagnosis; Early intervention; Information Systems and Communication Service; Machine learning; Magnetic resonance imaging; Mental disorders; Paradigms and Applications; Pattern Recognition and Graphics; Pediatrics; Professionals; Psychologists; Public health; Review Article; Software Engineering/Programming and Operating Systems; Vision; ASD; MRIs; Developmental delay; Screening tools; Machine learning
• ISSN: 2661-8907; 2662-995X; 2661-8907
• DOI: 10.1007/s42979-022-01584-1

Autism is a neurological developmental disorder that impacts a person’s physical, social, and emotional behavior. This disorder develops over time and is characterized by social deficits and repetitive behavior. Although there is no cure for this disorder, an early diagnosis and intervention can do significant wonders and can help the subject to become active functioning members of the family and society. The aim of this study is to minimize the diagnostic period by finding an optimal diagnosis procedure from the existing diagnosis tools. The diagnosis of autism can be done in three ways: 1. clinical evaluation; 2. screening tools; 3. brain images. In this review paper, we have thoroughly gone through all three types of diagnostic procedures and found that there was no single diagnostic tool to confirm the disorder. We also found that the diagnosis period was too long. As the result of this review, we found an ASD diagnosis triad which helps to choose the right diagnosis procedure based on the subjects age which reduces the diagnostic period and helps to aid early diagnosis by eliminating the chaos in choosing the diagnostic tools.