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Yen-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
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Yi-Ling Chien; Yueh-Ming Tai; Yen-Nan Chiu; Wen-Che Tsai; Susan Shur-Fen Gau – Autism: The International Journal of Research and Practice, 2024
The mediators of real-world executive functions in autism during the transition into adulthood are mainly unknown. This study aimed to identify the mediators for the behavioral and cognitive domains of real-world executive functions in late adolescent and young adult autistic populations. We followed up 289 autistic children (aged 11.6 ± 3.8, male…
Descriptors: Young Adults, Executive Function, Metacognition, Correlation
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Gau, Susan Shur-Fen; Lin, Yu-Ju; Shang, Chi-Yung; Liu, Shih-Kai; Chiu, Yen-Nan; Soong, Wei-Tsuen – Journal of Abnormal Child Psychology, 2010
Using a sample of 268 patients and 137 community-based children with DSM-IV ADHD, and 268 school controls, aged 6-15, this study aimed to compare the emotional/behavioral problems and functional impairment between clinic- and community-based children with ADHD. Children's ADHD-related symptoms, a wide range of emotional/behavioral problems, and…
Descriptors: Conceptual Tempo, Leisure Time, Attention Deficit Hyperactivity Disorder, Peer Relationship