Screening and Diagnosis of Autism Spectrum Disorder via Assistive Tools: Classification Algorithms
| dc.authorscopusid | 48862103700 | |
| dc.authorscopusid | 57189028525 | |
| dc.contributor.author | Tuna G. | |
| dc.contributor.author | Tuna A. | |
| dc.date.accessioned | 2024-06-12T10:26:16Z | |
| dc.date.available | 2024-06-12T10:26:16Z | |
| dc.date.issued | 2021 | |
| dc.description.abstract | Autism spectrum disorder (ASD) is a challenging developmental condition that involves restricted and/or repetitive behaviors and persistent challenges in social interaction and speech and nonverbal communication. There is not a standard medical test used to diagnose ASD; therefore, diagnosis is made by looking at the child’s developmental history and behavior. In recent years, due to the increase in diagnosed cases of ASD, researchers proposed software-based tools to aid in and expedite the diagnosis. Considering the fact that most of these tools rely on the use of classifiers, in study, random forest, decision tree, k-nearest neighbors, and zero rule algorithms are used as classifiers, and their performances are compared using well-known performance metrics. As proven in the study, random forest algorithm can provide higher accuracy than the others in the classification of ASD and can be integrated into a computer- or humanoid-robot-based system for automated prescreening and diagnosis of ASD in preschool children groups. © 2022 by IGI Global. | en_US |
| dc.identifier.doi | 10.4018/978-1-7998-7732-5.ch001 | |
| dc.identifier.endpage | 21 | en_US |
| dc.identifier.isbn | 9.7818E+12 | |
| dc.identifier.scopus | 2-s2.0-85129855285 | en_US |
| dc.identifier.scopusquality | N/A | en_US |
| dc.identifier.startpage | 1 | en_US |
| dc.identifier.uri | https://doi.org/10.4018/978-1-7998-7732-5.ch001 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14551/16765 | |
| dc.indekslendigikaynak | Scopus | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | IGI Global | en_US |
| dc.relation.ispartof | Understanding Parent Experiences and Supporting Autistic Children in the K-12 School System | en_US |
| dc.relation.publicationcategory | Kitap Bölümü - Uluslararası | en_US |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.subject | [Abstarct Not Available] | en_US |
| dc.title | Screening and Diagnosis of Autism Spectrum Disorder via Assistive Tools: Classification Algorithms | en_US |
| dc.type | Book Chapter | en_US |
