Publication:
Prediction of Outcome in Children with Autism Spectrum Disorders

dc.authorscopusid56995772300
dc.contributor.authorUsta, M.B.
dc.date.accessioned2025-12-11T00:27:47Z
dc.date.issued2021
dc.departmentOndokuz Mayıs Üniversitesien_US
dc.department-temp[Usta] Mirac Barış, Department of Child and Adolescent Psychiatry, Ondokuz Mayis Üniversitesi, Samsun, Turkeyen_US
dc.description.abstractAutism spectrum disorder (ASD) is an umbrella term for neurodevelopmental disabilities that affect social and communication skills, and in recent years, the trend toward escalating prevalence is seen. In children with ASD, outcome prediction is a vital component of planning behavioral interventions, treatment, and also prognosis in clinical settings. This chapter concerns the outcome of children and babies with ASD in later life, focusing on new biomedical research and also state-of-the-art techniques that are multidisciplinary between engineering and clinical research. Major trends and challenges of this research and methods for children with ASD in laboratory, clinical, and real-life settings will be discussed. © 2021 Elsevier Inc. All rights reserved.en_US
dc.identifier.doi10.1016/B978-0-12-822822-7.00001-6
dc.identifier.endpage8en_US
dc.identifier.isbn9780128228227
dc.identifier.scopus2-s2.0-85129096879
dc.identifier.startpage1en_US
dc.identifier.urihttps://doi.org/10.1016/B978-0-12-822822-7.00001-6
dc.identifier.urihttps://hdl.handle.net/20.500.12712/36417
dc.institutionauthorUsta, M.B.
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.publicationcategoryKitap Bölümü - Uluslararasıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectAccuracyen_US
dc.subjectAutism Spectrum Disorderen_US
dc.subjectMachine Learningen_US
dc.subjectMagnetic Resonance Imagingen_US
dc.subjectMRI Dataen_US
dc.subjectMultiscaleen_US
dc.titlePrediction of Outcome in Children with Autism Spectrum Disordersen_US
dc.typeBook Parten_US
dspace.entity.typePublication

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