Proceedings of TUSUR University / Archive / Issue of Journal № 4, t. 28, 2025 / Intelligent support for pulmonologists based on a multi-level patient computer model

Intelligent support for pulmonologists based on a multi-level patient computer model

DOI: 10.21293/1818-0442-2025-28-4-136-143

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Abstract: The paper presents models, algorithms, and a software package for intelligent support of pulmonologists based on a multilevel patient computer model. The developed package includes diag-nostic and therapy selection modules integrated with a relational database and a web application featuring user role differentia-tion. Mamdani fuzzy inference algorithms were used to formal-ize expert knowledge, ensuring interpretability of decisions and robustness to incomplete initial data. Testing on real clinical data of patients with bronchial asthma confirmed the correct op-eration of the software package: the system demonstrated agree-ment between its results and expert medical opinions and the ability to generate reliable recommendations even when some input parameters were missing. The practical significance of the work lies in reducing data analysis time, standardizing the diag-nostic and therapeutic process, and increasing the transparency in healthcare organizations.

Keywords: intelligent decision support, pulmonology, multi-level patient model, fuzzy logic, mamdani algorithm, diagnos-tics, therapy, web application, database

For citation:
Dubinin N. M., Gandzha T. V. Intelligent support for pulmonologists based on a multi-level patient computer model. Doklady Tomskogo gosudarstvennogo universiteta sistem upravleniya i radioelektroniki, 2025, vol. 28, no. 4, pp. 136–143. DOI: 10.21293/1818-0442-2025-28-4-136-143

Authors and copyright holders:

Dubinin N. M. , Tomsk State University of Control Systems and Radioelectronics (Tomsk, Russia)
Gandzha T. V. , Tomsk State University of Control Systems and Radioelectronics (Tomsk, Russia)

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