Neural network methodology for evaluating the effectiveness of therapy
- 1 Lipetsk State Technical University (Lipetsk, Russia)
- 2,4,5,6 Penza State University (Penza, Russia)
- 3 St. Petersburg State Electrotechnical University (LETI) (St. Petersburg, Russia)
Abstract
Evaluation of the effectiveness of hepatitis therapy due to the need to take into account a large number of parameters. The paper presents a technique and a system based on neural networks that allows evaluating the effectiveness of hepatitis therapy.
Work purpose – development of a decision support system for evaluating the effectiveness of hepatitis therapy.
An algorithm for integrating a neural interface with virtual reality environments has been developed to ensure mobility, accurate synchronization of events in the virtual world and corresponding brain reactions to create an objective picture of human health as a result of external influences.
The paper presents a software implementation of a system for evaluating the effectiveness of hepatitis therapy, which will allow evaluating the effectiveness of therapy.
- Received
- 10.11.2025
- Approved after review
- 13.11.2025
- Accepted
- 22.12.2025
How to cite
Астафьев А.Н., Геращенко С.И., Юлдашев З.М., Митрошин А.Н., Махов А.А., Янкина Н.Н. Нейросетевая методика оценки эффективности терапии гепатита // Биомедицинская радиоэлектроника // Биомедицинская радиоэлектроника. 2026. T. 29. № 1. С. 6−11. DOI: https:// doi.org/10.18127/j156 04136-202601-02
References
- Tuen N.Ch., Hyu Ch.Ch., Thach N.M., Yuldashev Z.M. Sistema i algoritm intellektual'noj obrabotki i analiza biomedicinskih signalov v sistemah udalennogo monitoringa sostoyaniya zdorov'ya cheloveka. Izvestiya vuzov Rossii. Ser.: Radioelektronika. 2018. № 5. S. 71–80 (In Russian).
- Bogdanova E.Yu. Blochnyj regulyarizovannyj metod Kachmazha. Vestnik Samarskogo gos. tekhn. un-ta. Ser.: Fiz.-mat. nauki. 2016. № 3. S. 544–551 (In Russian).
- Il'in V.P. Ob iteracionnom metode Kachmazha i ego obobshcheniyah. Sibirskij zhurnal industrial'noj matematiki. 2006. T. 9. № 3. S. 39–49 (In Russian).
- Kaczmarz S. Approximate solution of systems of linear equations. Internat. J. Control. 1993. V. 57. № 6. P. 1269–1271.
- Ivanov A.A. Reshenie zadachi polinomial'noj approksimacii s ispol'zovaniem iteracionnogo metoda Kachmazha. Vestnik SGAU. 2008. № 2. S. 179–182 (In Russian).