English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Autism spectrum disorder (ASD) is one of the most significant neurologicaldisorders that disrupt a person's social communication skills. The progressionand development of neuroimaging technologies has made structural networkconstruction of brain regions possible. In this paper, after finding thediscriminative sub-network using the evolutionary algorithm, the simplefeatures of the sub-network lead us to diagnose autism in various subjects withplausible accuracy (76% on average). This method yields substantially betterresults compared to previous researches. Thus, this method may be used as anaccurate assistance in autism screening

Extracting a Discriminative Structural Sub-Network for ASD Screening using the Evolutionary Algorithm