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

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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Bibliographic Details
Main Authors: M. O. Zelenskih, A. E. Saprygin, S. S. Tamozhnikov, P. D. Rudych, D. A. Lebedkin, A.  N. Savostyanov
Format: Article
Language:English
Published: Siberian Branch of the Russian Academy of Sciences, Federal Research Center Institute of Cytology and Genetics, The Vavilov Society of Geneticists and Breeders 2023-01-01
Series:Вавиловский журнал генетики и селекции
Subjects:
stop signal paradigm
artificial neural network
system for depression risk assessment
machine learning
Online Access:https://vavilov.elpub.ru/jour/article/view/3578
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