A Deep Learning Approach for Predicting Multiple Sclerosis

This paper proposes a deep learning model based on an artificial neural network with a single hidden layer for predicting the diagnosis of multiple sclerosis. The hidden layer includes a regularization term that prevents overfitting and reduces the model complexity. The purposed learning model achie...

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Detalles Bibliográficos
Autores principales: Ponce de Leon-Sanchez, Edgar Rafael, Dominguez-Ramirez, Omar Arturo, Herrera-Navarro, Ana Marcela, Rodriguez-Resendiz, Juvenal, Paredes-Orta, Carlos, Mendiola-Santibañez, Jorge Domingo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10141207/
https://www.ncbi.nlm.nih.gov/pubmed/37420982
http://dx.doi.org/10.3390/mi14040749

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10141207/
https://www.ncbi.nlm.nih.gov/pubmed/37420982
http://dx.doi.org/10.3390/mi14040749

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