| ITI əməkdaşlarının elmi işləri - tezis |
| Biblioqrafik təsvir | |
| Mamedova , M.H. An architecture and implementation principles of an expert system for the diagnosis of hepatocellular carcinoma / M.H. Mamedova , Z.G. Jabrayilova , M.I. Manafli // 2nd International Conference on Information Technologies and Their Applications Program. - Baku, 2024. - P. 1-14. | |
| Annotasiya | |
| This article proposes an architecture and implementation principles of the expert system for the diagnosis of hepatocellular carcinoma (HCC), the most widespread among malignant liver tumors. The state of HCC is expressed by various combinations of possible values of its clinical signs, and the HCC staging is determined based on the classification of these combinations by given classes. The need to prevent medical errors due to large number, complexity, and quantitative and qualitative character of parameters referred to has made the development of the HCC diagnosis system urgent. This article presents an architecture of the system and its constituent knowledge base, database, working principle of inference engine and interface blocks, and their mutual functional relationship. Based on the knowledge description production model, this study develops software realizing the mechanism of transforming the knowledge of doctors-experts into rules and forming a knowledgebase, activating the appropriate rule from the knowledge base according to various combinations of input data, making a diagnostic decision and delivering it to a user. The diagnostic system implemented in C# programming language with web technologies is integrated on Visual Study 2019 platform. HCC staging system is tested and run online. | |
| Elektron variant | |
| Elektron variant |
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