Rationale and Application of Express Algorithms for Mental Health Assessment in Professional Selection and Screening Examinations

Abstract

The aim of this study was the physiological substantiation of express algo-rithms for assessing cognitive functions according to the data of clinical, psy-chological and neurophysiological studies in conditions of time deficit. The in-tegrative indicator SCL-90-R - "general index of severity" has a high statistical significance (p <0.05) in both healthy subjects and neuropsychiatric patients. The effectiveness of the "Mini-Mult" method in conditions of time deficit is de-termined by the results of the scales of hypochondria, depression, hysteria, par-anoia, psychasthenia, schizoid and hypomania (p <0.05). We also used a block of logical techniques. A similar survey for 15 - 25 min can be used as a stand-ard for assessing neurocognitive status in screening studies of large groups. EEG power indices and spectra in theta, delta and alpha frequency ranges are an effective reflection of mental status.

Keywords: psychological testing, time deficit, big data methods, express algorithms

DOI: 10.54941/ahfe1001817