USING AUTOENCODER TO REDUCE THE LENGTH OF THE AUTISM DIAGNOSTIC OBSERVATION SCHEDULE (ADOS)

USING AUTOENCODER TO REDUCE THE LENGTH OF THE AUTISM DIAGNOSTIC OBSERVATION SCHEDULE (ADOS)

This thesis uses autoencoders to explore the possibility of reducing the length of the Autism Diagnostic Observation Schedule (ADOS), which is a series of tests and observations used to diagnose autism spectrum disorders in children, adolescents, and adults of different developmental levels. The len...

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Bibliographic Details
Main Author:	Daghustani, Sara Hussain
Format:	Others
Published:	CSUSB ScholarWorks 2018
Subjects:	ADOS Autism Machine Learning Neural Network Modules Artificial Intelligence and Robotics Other Psychology
Online Access:	https://scholarworks.lib.csusb.edu/etd/620 https://scholarworks.lib.csusb.edu/cgi/viewcontent.cgi?article=1696&context=etd

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