S.Yu. Zhuleva1, A.V. Kroshilin2, S.V. Kroshilina3

1–3 FSBEI HE Ryazan State Radio Engineering University named after V.F. Utkina (Ryazan, Russia)

1 zhuleva.svetlana@bk.ru, 2 av_kroshilin@mail.ru, 3 asak_kasa@mail.ru

Designing intelligent medical management systems based on information object theory requires a specialized approach to identifying medical objects. Semantic analysis using adaptive fuzzy neural networks will help achieve this goal.

Development of a system for managing medical material flows based on fuzzy neural networks.

The structure of a neuro-fuzzy system for medical management is proposed.

The proposed method, based on the integration of ANFIS (adaptive neuro-fuzzy networks) and information object (IO) theory, enables the creation of a reliable tool for supporting decision making in complex organizational and clinical scenarios.

Zhuleva S.Yu., Kroshilin A.V., Kroshilina S.V. Application of fuzzy neural networks in medical control systems // Biomedicine Radio-engineering. 2026. V. 29. № 5. Р. 68-72. DOI: https://doi.org/10.18127/j15604136-202605-10

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7. Zhuleva S.Yu., Kroshilin A.V., Kroshilina S.V., Samorukova O.D. Zadachi razrabotki sistem meditsinskogo naznacheniya pri vybore skhemy medikamentoznogo lecheniya. Vestnik RGRTU. 2024. № 88. S. 106–114. (in Russian).