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Full-Text Articles in Medicine and Health Sciences
Applications Of Unsupervised Machine Learning In Autism Spectrum Disorder Research: A Review, Chelsea Parlett-Pelleriti, Elizabeth Stevens, Dennis R. Dixon, Erik J. Linstead
Applications Of Unsupervised Machine Learning In Autism Spectrum Disorder Research: A Review, Chelsea Parlett-Pelleriti, Elizabeth Stevens, Dennis R. Dixon, Erik J. Linstead
Engineering Faculty Articles and Research
Large amounts of autism spectrum disorder (ASD) data is created through hospitals, therapy centers, and mobile applications; however, much of this rich data does not have pre-existing classes or labels. Large amounts of data—both genetic and behavioral—that are collected as part of scientific studies or a part of treatment can provide a deeper, more nuanced insight into both diagnosis and treatment of ASD. This paper reviews 43 papers using unsupervised machine learning in ASD, including k-means clustering, hierarchical clustering, model-based clustering, and self-organizing maps. The aim of this review is to provide a survey of the current uses of …
Nutrition Perception, Dietary Intake, And Anthropometric Correlations Between Autism Spectrum Disorder And Typically Developing Adolescents., Kristin M. Berg
Nutrition Perception, Dietary Intake, And Anthropometric Correlations Between Autism Spectrum Disorder And Typically Developing Adolescents., Kristin M. Berg
UNF Graduate Theses and Dissertations
The adolescent’s nutrition perception is reflected in dietary intake and body composition. Obesity is prevalent among adolescents with Autism Spectrum Disorder (ASD). Dietary habits of children with ASD are affected by sensory issues, gastrointestinal factors, and parental provision of diet. This cross-sectional study identifies the relationships among variables for dietary intake, nutrition perception of intake, and anthropometric measurements for adiposity for 19 adolescents, ages 11 to 17, with ASD. Twenty-four children who are typically developing (TD) were assessed to compare all variables for significant differences. Measurements of variables of interest were obtained from the adolescent subjects: a 24-hour recall of …
Let’S Have A Playdate! Comparing Autistic Children's Social Behavior During Play Sessions With Siblings Versus Peers, Clare Boldt
Let’S Have A Playdate! Comparing Autistic Children's Social Behavior During Play Sessions With Siblings Versus Peers, Clare Boldt
Scripps Senior Theses
Autistic individuals can struggle with social interactions and forming friendships. While siblings and peers are used for social skills intervention, there is a paucity of research analyzing differences in autistic children’s play with siblings versus peers. Investigating these behavior differences helps clinicians learn how to best support social skill development, improve sibling relationships, and determine ideal peer mediators for interventions. I compare social behaviors of autistic children during play sessions with their sibling versus a non-sibling peer. The behaviors measured were prosocial behaviors, cooperative and parallel play, verbalizations (appropriate and inappropriate), aggressive behaviors, eloping, and stereotypy. Based on previous literature, …
Physical Activity As A Predictor Of Obesity In Autistic Children, Cody A. Mullins
Physical Activity As A Predictor Of Obesity In Autistic Children, Cody A. Mullins
MSU Graduate Theses
Research has found autistic children to be 40% more likely to be obese compared to their non-autistic peers. Reduced physical activity (PA) is thought to be a contributing factor to the increased prevalence of obesity in autistic children. This was one of the first studies to investigate the PA behaviors of autistic children during an adapted physical education (APE) class using accelerometry. The purpose of this study was to examine the PA of autistic children and determine the relationship between PA and obesity. Participants were recruited from a school for students with disabilities who participate in a once-weekly APE class …