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Full-Text Articles in Diagnosis
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 …
Burnout With Caregiving Of Autism And The Covid19 Pandemic, Erin Babcock, Leah Recker
Burnout With Caregiving Of Autism And The Covid19 Pandemic, Erin Babcock, Leah Recker
Williams Honors College, Honors Research Projects
I am working with Leah Recker and we are doing research on parent/caregiver burnout of those with children that have autism, especially during COVID. We are creating a survey on Qualtrics, using stem questions followed by Likert scale items, which we will then send to the Director of Programs, Lisa Thompson, at Autism Society of Greater Akron. She will then pass it along to the parents and caregivers within their community, via Facebook or their weekly newsletter. Parents/caregivers will have the opportunity to complete the survey and we will receive the results when done so. We will then analyze the …