Year: 2023
Type: article
Abstract: Introduction ASD is a heterogeneous group of pathological conditions. Objectives Sensory Functions in Children with Autism Methods A brief review of scientific publications is presented, formed by the search result for the keywords: autism spectrum disorders, artificial intelligence, machine learning. Results Patients with ASD respond to sensory information hyper-reactively and hypo-reactively. Patients, regardless of age and severity of ASD, have atypical information processing patterns in all sensory modalities. Atypical processing of stimuli correlates with social, cognitive and communication disorders. Conclusions To normalize sensory deviations, it is necessary to build corrective and prognostic models of the child’s connection with the environment. Machine learning models, Data Mining methods to make medical management decisions and develop personalized therapeutic strategies. Disclosure of Interest None Declared
Source: European Psychiatry
Authors: A. Sidenkova, V. Litvinenko
Institution: Ural State Medical University
Language: English
Subfield: Cognitive Neuroscience
Field: Neuroscience
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $2,785
OpenAlex ID: W4385669163