Application of Machine Learning Analysis of EEG Connectivity Data and Environmental Factors for the Identification of neurodevelopmental conditions
Author:
Affiliation:
1. Scientific Institute IRCCS E. Medea,Bosisio Parini (LC),Italy
2. Università della Svizzera Italiana,Faculty of Informatics,Lugano,Switzerland
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10596554/10596704/10596882.pdf?arnumber=10596882
Reference31 articles.
1. What Do We Know about Early Onset Neurodevelopmental Disorders?
2. Current state of knowledge on the prevalence of neurodevelopmental disorders in childhood according to the DSM-5: a systematic review in accordance with the PRISMA criteria
3. Application and research progress of machine learning in the diagnosis and treatment of neurodevelopmental disorders in children
4. Machine learning approaches for electroencephalography and magnetoencephalography analyses in autism spectrum disorder: A systematic review
5. Electroencephalogram (EEG) based prediction of attention deficit hyperactivity disorder (ADHD) using machine learning
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