Abstract
The paper focuses on the study of methods to develop an associative model when performing data mining in the task of evaluating psychosocial factors of the population medical activity. A monitoring medical and sociological study was carried out, the object of which was the organization system of medical prevention at the territorial level. Related events were detected as a result of applying mining algorithms and methods. While assessing the psychosocial portrait of the students' parents, 25 association rules were identified with support from 80 % to 90 % and reliability above 97 %. It has been found that the vast majority of respondents ignore health-positive information materials and impacts by not being able to independently propose measures that correct traditional risk factors (RF). The results of the analysis were used to support management decisions in the regional medical prevention system.
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