THE CONCEPT OF SCHIZOTYPY-THE PERSPECTIVE OF COMPUTATIONAL STATISTICS AND THE THEORY OF COUNTING INFORMATION IN MEDICAL PRACTICE
Following the approach of mathematical and instrumental methods to mental disorders, the concept of schizotypy assumes a quantitative rather than qualitative characteristic of schizophrenia. In this review, we present a comprehensive review of recent publications on statistical research in schizotypy and related changes in brain anatomy to lay the groundwork for a spatial perspective of schizophrenia and related disorders for counting information theory in medical practice. In the course of the study, a special medical design for calculating basic data was proposed, based on modern methods of innovative parametric statistics. Despite significant progress in diagnostic accuracy and symptomatic treatment of mental disorders, discussions continue about their classification and use in mathematical and instrumental methods to track current advances in neuroscience. The main goal of our study is to apply the concept of schizotypy to computational statistics in medical design, which meets the needs for an objective assessment of schizophrenic-like personality traits in the General population. Thus, the study provides a qualitative and quantitative assessment of statistical methods in the study of schizotopia, and proves the theory of counting information in medical practice in the perspective of using computational statistics.