Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource A Systematic Review on Prognosis of Autism Using Machine Learning Techniques Subject The topic of the resource Autism; deep learning; Machine Learning; MRI; prognosis Description An account of the resource Quality of life (QoL) and QoL predictors have become crucial in the pandemic. Neurological anomalies are at the highest level of QoL threats. Autism is a multisystem disorder that causes behavioural, neurological, cognitive, and physical differences. Recent studies state that neurological disorders can result in dysfunction of the brain or whole nervous system which may cause other symptoms of Autism. The paper focuses on reviewing various Machine Learning techniques used for diagnosing Autism at an early age with the help of multiple datasets. The study of brain Magnetic Resonance Imaging (MRI) provides astute knowledge of brain structure that helps to study any minor to significant changes inside the brain that have emerged due to the disorder. Early diagnosis leads to a healthy life by getting timely treatment and training. "Early diagnosis of autism spectrum disorder" is an objective and one of the prime goals of health establishments worldwide. The research paper aims to systematically review and find which machine learning algorithms are efficient for the prognosis of autism. The Electrochemical Society Creator An entity primarily responsible for making the resource Malviya M.; Chandra J. Source A related resource from which the described resource is derived ECS Transactions, Vol-107, No. 1, pp. 11623-11632. Publisher An entity responsible for making the resource available Institute of Physics Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1149/10701.11623ecst" target="_blank" rel="noreferrer noopener">https://doi.org/10.1149/10701.11623ecst</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85130573543&amp;doi=10.1149%2F10701.11623ecst&amp;partnerID=40&amp;md5=ce3fa7c3fd1ac5411bbd831a3e052d08" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85130573543&amp;doi=10.1149%2f10701.11623ecst&amp;partnerID=40&amp;md5=ce3fa7c3fd1ac5411bbd831a3e052d08</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 19386737; ISBN: 978-160768539-5 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Malviya M., Department of Computer Science, Christ Deemed to be University, Bangalore, India; Chandra J., Department of Computer Science, Christ Deemed to be University, Bangalore, India