In this paper, an evolutionary algorithm for solving the problem of predicting the safety of opioid therapy for patients with pancreatic cancer is proposed. Opioid analgesics such as fentanyl and morphine are used as a therapy for pain syndromes. Using the patient database, based on the results of the therapy applied to them, it is determined whether there is a correlation between the outcome and the combination of input data taken into account. To find a set of informative features, it is proposed to use the genetic algorithm for multi-criterion optimization, in which two criteria are reduced to one generalized criterion using the method of “additive convolution”. The formed combination of the selected input features, which affects the outcome, is used to build a decision support model and to evaluate it afterwards.

Aim. To develop a model for the implementation of opioid - associated neurotoxicity in patients with pancreatic cancer based on an analysis of the relationship of clinical and genetic factors. Materials and methods. In 45 patients with pancreatic cancer, 54 clinical and genetic factors were studied for predicting the implementation of opioid-associated neurotoxicity, receiving a transdermal form of fentanyl. Results. A clinical genetic model of the implementation of opioid - associated neurotoxicity in patients with pancreatic cancer was developed using the example of a transdermal form of fentanyl Conclusion. The clinical genetic model for predicting the risk of opioid-associated neurotoxicity in patients with pancreatic cancer is important from the perspective of personalized medicine.

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The specificity of the individuals and groups interaction in society affects the social structure and dynamics of social mechanisms, necessitates studying the reasons for changing the behavior of the parties involved. In recent years, under the influence of various factors that cause an increase in tension in the society life, such as differentiation according to several criteria, expansion of the sphere of interaction between the individual and society, there has been a significant increase in deviations in the personal development and younger generations, behavior which is most often reflected in the strong desire manifestation dominance over the weak. One of the most complex and poorly studied forms of social behavior is bullying, manifested by both individuals and entire groups of people. It becomes necessary to analyze the data analysis patterns and methods, concentrating on the causes predicting, forms that determine the consequences specificity of the bullying model implementation as a destructive form of the socio-cultural environment interaction. The processes digitalization implies the digitalization of data collection and the improvement of analytics for unstable systems associated with the human factor. As a result of the study, there was determined the need for the cultural environment formation in conditions of a certain nature, namely, the creation of a system that would carry out cultural regulation of social interactions and communications. The cultural environment reacts to changes in society, social consciousness changes, ensures the individuals collective life by regulating their social behavior. Separately, it should be noted the importance of changes in this area at the legislative level, which will increase the importance of this aspect and make adjustments at a subconscious level.

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