Autistic Spectrum Disorder (ASD) encompasses many symptoms that appear gradually during early childhood; a timely detection deviation from the neurotypical profile allows early attention and delay the increase of these symptoms, aiming affected children to behave, learn and socialize more easily. We want to create an intelligent system based on machine learning algorithms that allow the detection of ASD; in the first stage,, the system will be based on behaviors (emotion recognition and bots for interaction) and diet (based on microbiota composition). As cases are confirmed by microbiota composition by the massive implementation of this intelligent system, a larger database will be generated to determine the bacteria (diet association) in the gut related to ASD.
Team Profile: https://communities.sas.com/t5/SAS-Hacker-s-Hub/Autistic-life-changer-first-approach-to-detect-ASD/ta-p/797121
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