H. Quigley

Machine learning analysis of Autism phenotype data supports a four-dimensional continuum with three overlapping subtypes

This work aims to inform new ways of modelling ASD using a VAE that will be able to discern between a continuum or a clustered output and that go beyond binary diagnosis, instead reflecting the complex range of trait profiles, with implications for personalised diagnosis and intervention.