Bazilevych K O, Chumachenko D I, Hulianytskyi L F, Meniailov I S, Yakovlev S V
M. Ye. Zhukovsky National Aerospace University "Kharkiv Aviation Institute,", Kharkiv, Ukraine.
V. M. Glushkov Institute of Cybernetics, National Academy of Sciences of Ukraine, Kyiv, Ukraine.
Cybern Syst Anal. 2022;58(3):343-353. doi: 10.1007/s10559-022-00466-x. Epub 2022 Sep 1.
The problems of decision support for epidemiological diagnostics are investigated. The basis for supporting decision-making is mathematical tools for analyzing morbidity data, as well as modeling of epidemic processes. The current state of research in this area is analyzed. The features of decision-making in epidemiology and public health are formalized. Principles for the development of an intelligent information system for decision-making support for epidemiological diagnostics are proposed. A systemic model of the system, a model of the interaction of elements of the epidemiological diagnostics system and the interaction of logical components of the information system has been developed. Taking into account the identified features of these processes, the concept of the architecture of such an intelligent information system is proposed.
对流行病学诊断的决策支持问题进行了研究。支持决策的基础是用于分析发病率数据的数学工具以及流行病过程建模。分析了该领域的研究现状。对流行病学和公共卫生决策的特征进行了形式化。提出了用于支持流行病学诊断决策的智能信息系统的开发原则。开发了该系统的系统模型、流行病学诊断系统元素的交互模型以及信息系统逻辑组件的交互模型。考虑到这些过程的已识别特征,提出了这种智能信息系统的架构概念。