State of knowledge about autism spectrum disorders among residents of Szczecin - preliminary report
Introduction: Autism spectrum disorders are more often diagnosed. Like any disorder, autism can cause discomfort, even distress to families. Thanks to educational campaigns, more people know what this disorder is related to.
Martyna Maciejewska+6 more
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Aim: Autism spectrum disorder is a neurodevelopmental disorder. The S100 calcium binding protein B (S100B) is among the markers of astrocyte activation as well as brain damage. Herein, it was aimed to evaluate S100B levels to determine whether there is a
Özge Demircan+3 more
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Accurate Autism Spectrum Disorder prediction using Support Vector Classifier based on Federated Learning (SVCFL) [PDF]
The path to an autism diagnosis can be long and difficult, and delays can have serious consequences. Artificial intelligence can completely change the way autism is diagnosed, especially when it comes to situations where it is difficult to see the first signs of the disease.
arxiv
Tracing the temporal stability of autism spectrum diagnosis and severity as measured by the Autism Diagnostic Observation Schedule: A systematic review and meta-analysis. [PDF]
Exploring ways to improve the trajectory and symptoms of autism spectrum disorder is prevalent in research, but less is known about the natural prognosis of autism spectrum disorder and course of symptoms.
Łucja Bieleninik+5 more
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Introduction Studies on autism spectrum disorder in recent years have controversially indicated similarities with schizophrenia. Cognitive dysfunction is present in both disorders, and while there is a rich array of interventions for cognitive ...
Maki Miyajima+5 more
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Background & aims This study compared gesture rate and purpose in participants with Down syndrome and fragile X syndrome, and the impact of autism spectrum disorder symptoms on each syndrome.
Emily Lorang, Audra Sterling,
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Structural alterations of the social brain: a comparison between schizophrenia and autism. [PDF]
Autism spectrum disorder and schizophrenia share a substantial number of etiologic and phenotypic characteristics. Still, no direct comparison of both disorders has been performed to identify differences and commonalities in brain structure.
Daniel Radeloff+9 more
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Application of Machine Learning in Identification of Best Teaching Method for Children with Autism Spectrum Disorder [PDF]
A good teaching method is incomprehensible for an autistic child. The autism spectrum disorder is a very diverse phenomenon. It is said that no two autistic children are the same. So, something that works for one child may not be fit for another. The same case is true for their education. Different children need to be approached with different teaching
arxiv
Identification of Novel Diagnostic Neuroimaging Biomarkers for Autism Spectrum Disorder Through Convolutional Neural Network-Based Analysis of Functional, Structural, and Diffusion Tensor Imaging Data Towards Enhanced Autism Diagnosis [PDF]
Autism spectrum disorder is one of the leading neurodevelopmental disorders in our world, present in over 1% of the population and rapidly increasing in prevalence, yet the condition lacks a robust, objective, and efficient diagnostic. Clinical diagnostic criteria rely on subjective behavioral assessments, which are prone to misdiagnosis as they face ...
arxiv
IntroductionThe mobile health application “Stress Autism Mate” (SAM) was designed to support adults with autism in identifying and managing daily stress.
Kirsten Hoeberichts+5 more
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