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Use of Neural Network System for Diagnosing Attention Deficit Hyperactivity Disorder. С. 48–54.

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Section:

UDC

61:57-07:004.9

Authors

Reznichenko Natalya Sergeevna, Postgraduate Student, Krasnoyarsk State Pedagogical University named after V.P. Astafyev (Krasnoyarsk, Russia) 

Shilov Sergey Nikolaevich, Krasnoyarsk State Pedagogical University named after V.P. Astafyev (Krasnoyarsk, Russia)

Abstract

The paper is devoted to the automation of biomedical diagnosing. Nowadays, medical and psychological practice needs more than just the standard set of statistical methods of data processing. Thus, the theory of neural networks comes to the forefront, as well as its application for scientific research automation and for solving applied problems. The paper presents the results of an experimental study on the application of neural network approach in diagnosing attention deficit hyperactivity disorder. Introduction of an expert neural network complex has made it possible to substantially improve the efficiency of diagnosing brain disorders.

Keywords

neural network forecasting, attention deficit hyperactivity disorder, neural networks.
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