NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 5 results Save | Export
Growing up with Fragile X Syndrome: Concerns and Care Needs of Young Adult Patients and Their Parents
Peer reviewed Peer reviewed
Direct linkDirect link
Van Remmerden, M. C.; Hoogland, L.; Mous, S. E.; Dierckx, B.; Coesmans, M.; Moll, H. A.; Lubbers, K.; Lincken, C. R.; Van Eeghen, A. M. – Journal of Autism and Developmental Disorders, 2020
Little is known about care needs of young adults with Fragile X Syndrome (FXS). Patient-driven information is needed to improve understanding and support of young adults with FXS. A qualitative study was performed in 5 young adult patients (aged 18-30), and 33 parents of young adults. Concerns and care needs were categorized using the…
Descriptors: Genetic Disorders, Intellectual Disability, Young Adults, Classification
Use of Machine Learning to Identify Children with Autism and Their Motor Abnormalities
Peer reviewed Peer reviewed
Direct linkDirect link
Crippa, Alessandro; Salvatore, Christian; Perego, Paolo; Forti, Sara; Nobile, Maria; Molteni, Massimo; Castiglioni, Isabella – Journal of Autism and Developmental Disorders, 2015
In the present work, we have undertaken a proof-of-concept study to determine whether a simple upper-limb movement could be useful to accurately classify low-functioning children with autism spectrum disorder (ASD) aged 2-4. To answer this question, we developed a supervised machine-learning method to correctly discriminate 15 preschool children…
Descriptors: Children, Autism, Psychomotor Skills, Task Analysis
Validation of Autism Spectrum Disorder Diagnoses in Large Healthcare Systems with Electronic Medical Records
Peer reviewed Peer reviewed
Direct linkDirect link
Coleman, Karen J.; Lutsky, Marta A.; Yau, Vincent; Qian, Yinge; Pomichowski, Magdalena E.; Crawford, Phillip M.; Lynch, Frances L.; Madden, Jeanne M.; Owen-Smith, Ashli; Pearson, John A.; Pearson, Kathryn A.; Rusinak, Donna; Quinn, Virginia P.; Croen, Lisa A. – Journal of Autism and Developmental Disorders, 2015
To identify factors associated with valid Autism Spectrum Disorder (ASD) diagnoses from electronic sources in large healthcare systems. We examined 1,272 charts from ASD diagnosed youth <18 years old. Expert reviewers classified diagnoses as confirmed, probable, possible, ruled out, or not enough information. A total of 845 were classified with…
Descriptors: Validity, Clinical Diagnosis, Autism, Classification
Use of Dysmorphology for Subgroup Classification on Autism Spectrum Disorder in Chinese Children
Peer reviewed Peer reviewed
Direct linkDirect link
Wong, Virginia C. N.; Fung, Cecilia K. Y.; Wong, Polly T. Y. – Journal of Autism and Developmental Disorders, 2014
Data from 1,261 Chinese Autistic Spectrum Disorder (ASD) patients were evaluated and categorized into dysmorphic (10.79%) and non-dysmorphic groups (89.21%) upon physical examination by the presence of dysmorphic features. Abnormal MRI/CT result, IQ scores and epilepsy were significantly associated with the dysmorphic group of ASD children.…
Descriptors: Foreign Countries, Pervasive Developmental Disorders, Autism, Classification
The Autism Mental Status Exam: Sensitivity and Specificity Using DSM-5 Criteria for Autism Spectrum Disorder in Verbally Fluent Adults
Peer reviewed Peer reviewed
Direct linkDirect link
Grodberg, David; Weinger, Paige M.; Halpern, Danielle; Parides, Michael; Kolevzon, Alexander; Buxbaum, Joseph D. – Journal of Autism and Developmental Disorders, 2014
The phenotypic heterogeneity of adults suspected of autism spectrum disorder (ASD) requires a standardized diagnostic approach that is feasible in all clinical settings. The autism mental status exam (AMSE) is an eight-item observational assessment that structures the observation and documentation of social, communicative and behavioral signs and…
Descriptors: Pervasive Developmental Disorders, Autism, Adults, Verbal Ability