title: [Extraction of an informative cluster of factors for identification of patients with neuropsychiatric diseases].
abstract: On the basis of a blanket examination of employees at a large industrial enterprise which revealed 743 patients with neuropsychic diseases, predominantly of a borderline nature, and of 273 mentally normal subjects the authors, using the algorithm of image recognition identified an informative aggregation of factors determining the status of mental health. In the total sample the authors received 85.5% of correct, 13.8% of erroneous, and 0.7% of unrecognized solutions. The authors also discuss signs considered as risk factors and as factors of resistance in relation to the development of neuropsychic abnormalities. The utilization of the results obtained may be promising in conducting the preliminary automatic screening of the population with the purpose of identifying groups at a risk of developing neuropsychic disturbances.
mesh_terms: D000465:Algorithms; D001927:Brain Diseases / Q000453:epidemiology*; D003936:Diagnosis, Computer-Assisted; D005260:Female; D006801:Humans; D008607:Intellectual Disability / Q000453:epidemiology*; D008297:Male; D008403:Mass Screening / Q000379:methods*; D009497:Neurotic Disorders / Q000453:epidemiology*; D009787:Occupational Medicine; D012306:Risk
vernacular_title: Vydelenie informativnoĭ sovokupnosti faktorov dlia raspoznavaniia bol'nykh nervno-psikhicheskimi zabolevaniiami.