Development of a neural network for diagnosing the risk of depression according to the experimental data of the stop signal paradigm

These days, the ability to predict the result of the development of the system is the guarantee of the successful functioning of the system. Improving the quality and volume of information, complicating its presentation, the need to detect hidden connections makes it ineffective, and most often impo...

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Detalles Bibliográficos
Autores principales: Zelenskih, M.O., Saprygin, A.E., Rudych, P.D., Lebedkin, D.A., Savostyanov, A.N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Federal Research Center Institute of Cytology and Genetics of Siberian Branch of the Russian Academy of Sciences 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9837161/
https://www.ncbi.nlm.nih.gov/pubmed/36694722
http://dx.doi.org/10.18699/VJGB-22-93

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9837161/
https://www.ncbi.nlm.nih.gov/pubmed/36694722
http://dx.doi.org/10.18699/VJGB-22-93

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