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[提取用于识别神经精神疾病患者的信息性因素集群]

[Extraction of an informative cluster of factors for identification of patients with neuropsychiatric diseases].

作者信息

Leshchinskiĭ B S, Polozhiĭ B S, Ritsner M S, Zapuskalov S V

出版信息

Zh Nevropatol Psikhiatr Im S S Korsakova. 1986;86(8):1212-5.

PMID:3535315
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.

摘要

在对一家大型工业企业的员工进行全面检查的基础上,发现了743名患有神经精神疾病的患者,这些疾病主要处于临界状态,还有273名精神正常的受试者。作者使用图像识别算法,确定了决定心理健康状况的信息性因素集合。在总样本中,作者得到了85.5%的正确结果、13.8%的错误结果和0.7%无法识别的结果。作者还讨论了被视为神经精神异常发展的风险因素和抵抗因素的体征。所获得结果的应用在对人群进行初步自动筛查以识别有发生神经精神障碍风险的群体方面可能很有前景。

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1
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