Identification of the most indicative and discriminative features from diagnostic instruments for children with autism

Identification of the most indicative and discriminative features from diagnostic instruments for children with autism

Abstract Background Diagnosing autism spectrum disorder (ASD) is complex and time‐consuming. The present work systematically examines the importance of items from the Autism Diagnostic Interview‐Revised (ADI‐R) and Autism Diagnostic Observation Schedule (ADOS) in discerning children with and without...

Full description

Bibliographic Details
Main Authors: Sanna Stroth, Johannes Tauscher, Nicole Wolff, Charlotte Küpper, Luise Poustka, Stefan Roepke, Veit Roessner, Dominik Heider, Inge Kamp‐Becker
Format: Article
Language:English
Published: Wiley 2021-07-01
Series:JCPP Advances
Subjects:
ADI‐R
ADOS
autism spectrum disorder
diagnostic‐gold‐standard
differential‐diagnosis
machine learning
Online Access:https://doi.org/10.1002/jcv2.12023

Internet

https://doi.org/10.1002/jcv2.12023

Similar Items