| ITI əməkdaşlarının elmi işləri - məqalə |
| Biblioqrafik təsvir | |
| Mammadova , M.H. An Algorithm for Creating a Digital Twin through Health Data Visualization / M.H. Mammadova , Z.G. Jabrayilova , A.A. Ahmadova // Reliability: Theory & Applications. - 2025. - N: 7 (83), volume 20.- P. 188-196. | |
| Annotasiya | |
| This article presents the essence and architectural-technological principles of digital twin technology, and presents an algorithm for creating a digital twin based on the visualization of medical data through Power BI. The digital twin supports the early prediction of diseases and the analysis of personalized medical indicators by simulating the human body and enabling real-time monitoring of the condition. The article proposes a generalized architecture for building a digital twin of the human body at the level of organs and relevant diseases, the stages of its formation, and develops a schematic description of a virtual object. The Power BI platform is chosen to visually present the virtual object update simultaneously with any changes occurring in the physical object, which is the main architectural component of the medical digital twin. As a real source of information, it is referred to the available national database where doctors periodically collect information about patients in traditional clinical practice. Dashboards are developed on the Power BI platform to form the trajectory of change of medical indicators based on their values given in a time series. The digital twin created based on this approach enables the real-time monitoring of dynamic changes in test results, which supports the acceleration of physician decision-making related to health condition management, the improvement of service quality, and the provision of more prompt and personalized patient care. | |
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