An intelligent Bayesian hybrid approach to help autism diagnosis

This paper proposes a Bayesian hybrid approach based on neural networks and fuzzy systems to construct fuzzy rules to assist experts in detecting features and relations regarding the presence of autism in human beings. The model proposed in this paper works with a database generated through mobile d...

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Detalles Bibliográficos
Autores principales: Souza, Paulo Vitor de Campos, Guimaraes, Augusto Junio, Araujo, Vanessa Souza, Lughofer, Edwin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Fuzzy Systems and Their Mathematics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8550741/
https://www.ncbi.nlm.nih.gov/pubmed/34720705
http://dx.doi.org/10.1007/s00500-021-05877-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8550741/
https://www.ncbi.nlm.nih.gov/pubmed/34720705
http://dx.doi.org/10.1007/s00500-021-05877-0

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