Hybrid Model for Assessing the Level of Risk for the Development of Atherosclerosis

The main goal of the research is to develop a hybrid model for assessing the risk of developing atherosclerosis based on the theory of fuzzy sets and intellectual analysis of knowledge. For the first time, an information model for assessing the level of risk of developing atherosclerosis has been developed. The model is based on expert evaluation fuzzy sets and intellectual analysis of knowledge. The method was tested on 17 groups of criteria. For the first time, a fuzzy hybrid model for assessing and deriving the level of risk of developing atherosclerosis was developed. The value of the hybrid model for assessing the level of risk of developing atherosclerosis is that: on the one hand, the model takes into account the quantitative indicators of laboratory studies of the intestinal microbiome, which are processed by a vague methodology of intellectual analysis of knowledge, and on the other hand, it combines expert experience and knowledge about the possibility of developing atherosclerosis. The model does not use a lot of calculations, reveals the subjectivity in the estimated information, and is easy to configure. At the output, a quantitative assessment and degree of risk of developing atherosclerosis is obtained, based on which further proactive decisions are made to prevent the development of the disease. All settings of the hybrid model are tested and verified on real data.