Use of Machine Learning to Investigate the Quantitative Checklist for Autism in Toddlers (Q-CHAT) towards Early Autism Screening

Use of Machine Learning to Investigate the Quantitative Checklist for Autism in Toddlers (Q-CHAT) towards Early Autism Screening

In the past two decades, several screening instruments were developed to detect toddlers who may be autistic both in clinical and unselected samples. Among others, the Quantitative CHecklist for Autism in Toddlers (Q-CHAT) is a quantitative and normally distributed measure of autistic traits that de...

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Bibliographic Details
Main Authors: Gennaro Tartarisco, Giovanni Cicceri, Davide Di Pietro, Elisa Leonardi, Stefania Aiello, Flavia Marino, Flavia Chiarotti, Antonella Gagliano, Giuseppe Maurizio Arduino, Fabio Apicella, Filippo Muratori, Dario Bruneo, Carrie Allison, Simon Baron Cohen, David Vagni, Giovanni Pioggia, Liliana Ruta
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Diagnostics
Subjects:
Q-CHAT
early screening
machine learning
autism
Online Access:https://www.mdpi.com/2075-4418/11/3/574

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