Please use this identifier to cite or link to this item: https://hdl.handle.net/11499/46670
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dc.contributor.authorOzdemir, Selda-
dc.contributor.authorAkin-Bulbul, Isik-
dc.contributor.authorKok, Ibrahim-
dc.contributor.authorOzdemir, Suat-
dc.date.accessioned2023-01-09T21:15:41Z-
dc.date.available2023-01-09T21:15:41Z-
dc.date.issued2022-
dc.identifier.issn0167-8760-
dc.identifier.issn1872-7697-
dc.identifier.urihttps://doi.org/10.1016/j.ijpsycho.2022.01.004-
dc.identifier.urihttps://hdl.handle.net/11499/46670-
dc.description.abstractVisual attention of young children with autism spectrum disorder (ASD) has been well documented in the literature for the past 20 years. In this study, we developed a Decision Support System (DSS) that uses machine learning (ML) techniques to identify young children with ASD from typically developing (TD) children. Study participants included 26 to 36 months old young children with ASD (n = 61) and TD children (n = 72). The results showed that the proposed DSS achieved up to 87.5% success rate in the early assessment of ASD in young children. Findings suggested that visual attention is a unique, promising biomarker for early assessment of ASD. Study results were discussed, and suggestions for future research were provided.en_US
dc.description.sponsorshipScientific and Technological Research Council of Turkey [115K459]en_US
dc.description.sponsorshipAcknowledgments This study was supported by the Scientific and Technological Research Council of Turkey (Grant number #115K459) .en_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.ispartofInternational Journal Of Psychophysiologyen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectAutism spectrum disordersen_US
dc.subjectEye trackingen_US
dc.subjectVisual attentionen_US
dc.subjectScreeningen_US
dc.subjectMachine learningen_US
dc.subjectBiomarkeren_US
dc.subjectSocial Attentionen_US
dc.subjectCircumscribed Interestsen_US
dc.subjectEarly Identificationen_US
dc.subjectEye-Trackingen_US
dc.subjectChildrenen_US
dc.subjectToddlersen_US
dc.subjectPatternsen_US
dc.subjectAdultsen_US
dc.subjectBrainen_US
dc.subjectImpairmenten_US
dc.titleDevelopment of a visual attention based decision support system for autism spectrum disorder screeningen_US
dc.typeArticleen_US
dc.identifier.volume173en_US
dc.identifier.startpage69en_US
dc.identifier.endpage81en_US
dc.authoridkök, ibrahim/0000-0001-9787-8079-
dc.authoridOzdemir, Suat/0000-0002-4588-4538-
dc.authoridAKIN BÜLBÜL, Işık/0000-0001-5964-6082-
dc.identifier.doi10.1016/j.ijpsycho.2022.01.004-
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.authorscopusid23985940600-
dc.authorscopusid57421376900-
dc.authorscopusid57200283688-
dc.authorscopusid23467461900-
dc.authorwosidkök, ibrahim/AAR-2061-2020-
dc.authorwosidOzdemir, Suat/D-8406-2012-
dc.authorwosidOzdemir, Selda/ACT-8087-2022-
dc.authorwosidAKIN BÜLBÜL, Işık/AHB-3741-2022-
dc.identifier.pmid35007668en_US
dc.identifier.scopus2-s2.0-85123262355en_US
dc.identifier.wosWOS:000781811400008en_US
dc.identifier.scopusqualityQ2-
item.languageiso639-1en-
item.openairetypeArticle-
item.grantfulltextnone-
item.cerifentitytypePublications-
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
crisitem.author.dept10.10. Computer Engineering-
Appears in Collections:Mühendislik Fakültesi Koleksiyonu
PubMed İndeksli Yayınlar Koleksiyonu / PubMed Indexed Publications Collection
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
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