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ITI əməkdaslarının elmi isləri Elektron kitabxana Konfranslar İnformasiya Sistemi Qəzetlər UOT 004
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 Biblioqrafik təsvir
 Mammadova , M.H. Development of an intelligent support system for hepatocellular carcinoma treatment selection / M.H. Mammadova , Z.G. Jabrayilova // Eastern-European Journal of Enterprise Technologies. - 2025. - N: 6/9 (138). - P. 28-36.
 Annotasiya
 The object of the study is the clinical deci-sion-making process for selecting of hepatocellular carcinoma (HCC) treatment method based on the patients medical data. The process of the HCC treatment method selection remains poorly for-malized and is characterized by multi-criteria and the presence of numerous clinical situations, for each of which it is necessary to promptly identify the most accurate therapeutic solution.This study develops an intelligent medical decision support system for HCC treatment meth-od selection based on knowledge applicable in clinical practice.It offers architectural and functional prin-ciples of the intelligent decision support system, classifying clinical situations by HCC treatment method, consisting of multiple possible combina-tions of 44 informative parameters. Based on the current values of these parameters, expert knowledge is transformed into production rules identifying HCC treatment methods. A heuristic procedure treatment selection is developed based on production rule analysis in accordance with current parameter values, reproducing the reasoning patterns of participants in a multidisciplinary council during their consensus decision-making process regarding HCC treatment appointment. A software implementation of a decision-making model for HCC treatment selection, implemented in C# using the Visual Study 2019 platform, enabled the integration of an intel-ligent system with web technologies.The intelligent medical decision support system automates the unique experience of professionals and helps physicians in a multidisciplinary consultation make prompt and informed decisions online regarding the appointment of personalized therapy. The system was piloted with expert physicians in several iterations until complete match between the consensus decision of the multidisciplinary council and the decision made by the developed system in accordance with clinical recommendations was achieved.
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