Application of intelligent data analysis technologies for students psycho-emotional state study

Due to the complexity of the research object, data analysis in medicine is the main tool for finding patterns and testing hypotheses. First of all, this applies to psychology, including the analysis of the behavior of subjects in certain situations. In order to identify the high-anxiety state of students, to analyze the tendency to depression or suicide, a study of the psycho-emotional state of students is conducted annually at the Omsk Industrial and Economic College. Traditionally, standard tests based on the technique of "Anxiety Scale" of Spielberger–Hanin's are used for this. The purpose of this work is to reduce the complexity of the standard tests. Significant and poorly motivated efforts have to be made by students in completing the tests, and then by teachers in processing and analyzing the tests. To solve this problem, it is proposed to make the test compact by applying standard and original data analysis methods while minimizing the loss of test accuracy. The main result of this work is a diagnostic scale, which forms the basis for the rapid assessment of the psycho-emotional state of students. The diagnostic scale was calculated using graphics processors on a supercomputer of IM SB RAS. Target audience: senior classes of secondary schools and junior courses of educational institutions of secondary vocational education.