Pilot Study on Analysis of Electroencephalography Signals from Children with FASD with the Implementation of Naive Bayesian Classifiers

In this paper Naive Bayesian classifiers were applied for the purpose of differentiation between the EEG signals recorded from children with Fetal Alcohol Syndrome Disorders (FASD) and healthy ones. This work also provides a brief introduction to the FASD itself, explaining the social, economic and...

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Detalles Bibliográficos
Autores principales: Dyląg, Katarzyna Anna, Wieczorek, Wiktoria, Bauer, Waldemar, Walecki, Piotr, Bando, Bozena, Martinek, Radek, Kawala-Sterniuk, Aleksandra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8747358/
https://www.ncbi.nlm.nih.gov/pubmed/35009650
http://dx.doi.org/10.3390/s22010103

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8747358/
https://www.ncbi.nlm.nih.gov/pubmed/35009650
http://dx.doi.org/10.3390/s22010103

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