The purpose of the study is to analyze and classify data to create a reliable human digital twin - a subject of economic relations, as well as develop models for collecting, transmitting, integrating, processing of this data to build an architecture of a human digital twin to intelligently support the process of strategic planning of territorial development. The differences between the human digital twin and the machine digital twin are highlighted. Data sources are analyzed and data classification is proposed for creating a human digital twin. The authors proposed a model of an integrated multi-level architecture of a human digital twin. The process of supporting decision-making on strategic planning of territorial development based on the technologies of a digital human twin, an agent-oriented approach, the use of ontologies that ensure the reliability of forecasts for the development of the macro system was modeled.
No takes yet. Share an insight, caveat, or question.
Низамутдинов et al. (2024) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: