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Direct linkYen-Chin Wang; Chung-Yuan Cheng; Chi-Shin Wu; Chi-Chun Lee; Susan Shur-Fen Gau – Autism: The International Journal of Research and Practice, 2025
Machine-learning models can assist in diagnosing autism but have biases. We examines the correlates of misclassifications and how training data affect model generalizability. The Social Responsive Scale data were collected from two cohorts in Taiwan: the clinical cohort comprised 1203 autistic participants and 1182 non-autistic comparisons, and…
Descriptors: Artificial Intelligence, Autism Spectrum Disorders, Clinical Diagnosis, Error Patterns
Galligan, Megan Ledoux; Heyman, Michelle; Bolourian, Yasamin; Stavropoulos, Katherine; Blacher, Jan – Journal of Autism and Developmental Disorders, 2022
Emotional and behavioral problems (EBPs), such as anxiety, overactivity, and aggression, can influence the diagnosis of autism spectrum disorder (ASD). The gold standard diagnostic tool for ASD, the "Autism Diagnostic Observation Schedule--Second Edition," includes three items ("E-codes") for EBPs that are frequently associated…
Descriptors: Young Children, Autism Spectrum Disorders, Behavior Problems, Behavior Disorders
Taylor, Briana J.; Reynolds, Charles F., III; Siegel, Matthew – Autism: The International Journal of Research and Practice, 2021
Insomnia subtypes have not been characterized in severely affected youth with autism spectrum disorder. We examined indices of clinical impairment (i.e. length of hospital stay, autism severity, nonverbal intelligence quotient, and adaptive and maladaptive behaviors) across insomnia subtypes in 427 psychiatrically hospitalized children with autism…
Descriptors: Sleep, Hospitalized Children, Adolescents, Clinical Diagnosis
Haiying Yuan; Christine Dollaghan – Journal of Speech, Language, and Hearing Research, 2020
Purpose: No diagnostic tools exist for identifying social (pragmatic) communication disorder (SPCD), a new "Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition" category for individuals with social communication deficits but not the repetitive, restricted behaviors and interests (RRBIs) that would qualify them for a…
Descriptors: Communication Problems, Interpersonal Competence, Autism, Pervasive Developmental Disorders
Wiggins, Lisa D.; Reynolds, Ann; Rice, Catherine E.; Moody, Eric J.; Bernal, Pilar; Blaskey, Lisa; Rosenberg, Steven A.; Lee, Li-Ching; Levy, Susan E. – Journal of Autism and Developmental Disorders, 2015
The Study to Explore Early Development (SEED) is a multi-site case-control study designed to explore the relationship between autism spectrum disorder (ASD) phenotypes and etiologies. The goals of this paper are to (1) describe the SEED algorithm that uses the Autism Diagnostic Interview-Revised (ADI-R) and Autism Diagnostic Observation Schedule…
Descriptors: Autism, Pervasive Developmental Disorders, Case Studies, Correlation
Connolly, John J.; Glessner, Joseph T.; Hakonarson, Hakon – Child Development, 2013
Efforts to understand the causes of autism spectrum disorders (ASDs) have been hampered by genetic complexity and heterogeneity among individuals. One strategy for reducing complexity is to target endophenotypes, simpler biologically based measures that may involve fewer genes and constitute a more homogenous sample. A genome-wide association…
Descriptors: Autism, Pervasive Developmental Disorders, Genetics, Genetic Disorders
Georgiades, Stelios; Szatmari, Peter; Boyle, Michael; Hanna, Steven; Duku, Eric; Zwaigenbaum, Lonnie; Bryson, Susan; Fombonne, Eric; Volden, Joanne; Mirenda, Pat; Smith, Isabel; Roberts, Wendy; Vaillancourt, Tracy; Waddell, Charlotte; Bennett, Teresa; Thompson, Ann – Journal of Child Psychology and Psychiatry, 2013
Background: Autism spectrum disorder (ASD) is characterized by notable phenotypic heterogeneity, which is often viewed as an obstacle to the study of its etiology, diagnosis, treatment, and prognosis. On the basis of empirical evidence, instead of three binary categories, the upcoming edition of the DSM 5 will use two dimensions--social…
Descriptors: Pervasive Developmental Disorders, Autism, Student Characteristics, Social Development
Rao, Patricia A.; Landa, Rebecca J. – Autism: The International Journal of Research and Practice, 2014
Autism spectrum disorder and attention deficit hyperactivity disorder are neurodevelopmental disorders that cannot be codiagnosed under existing diagnostic guidelines ("Diagnostic and Statistical Manual of the American Psychiatric Association," 4th ed., text rev.). However, reports are emerging that attention deficit hyperactivity…
Descriptors: Pervasive Developmental Disorders, Autism, Attention Deficit Hyperactivity Disorder, Comorbidity
