Applying of classification and predictive modeling to predict individual risk factors for depressive disorders

Purpose: the formation of mathematical models and algorithms for predicting the development of depressive disorders in patients based on their individual medical and social characteristics. Material and methods. The substantiation of the urgency of the problem is given. The methods and the course of the research are described. Results and conclusions. On the basis of the data obtained, a set of the most significant medical and social characteristics of patients was formed, an integral indicator for assessing the degree of risk of depressive disorders was developed, a computer program was created to predict the probability of development of affective pathology. Appropriate conclusions had been made.