Zin'kovskiĭ A K, Tsikulin A E, Sorokina T G
Zh Nevropatol Psikhiatr Im S S Korsakova. 1990;90(5):80-4.
The authors relate the results of multidimensional multivariate algorithmic diagnosis of clinical examination of 200 persons made over time with the aid of the methods of mathematic statistics. Factorial analysis performed in accordance with the data obtained as a result of examining normal persons, those with the prenosological neurotic manifestations, neurotic reactions, and patients with neurotic conditions enabled one to distinguish 10 factors covering the most informative symptomatology reflecting formation of the neurotic condition. Proceeding from the factorial mathematic model obtained the analysis allowed demonstration of the relationship between the symptoms, syndromes and the clinical structure at each stage of their formation. Based on the data obtained prerequisites are being made for the design of the methods of computer-aided algorithmic diagnosis of the early stages of forming the neurotic conditions.
作者运用数理统计方法,对200人进行了长期的临床检查,并将多维多元算法诊断的结果进行了关联。根据对正常人、有前驱性神经症表现者、神经症反应者以及神经症患者的检查结果进行的因子分析,能够区分出10个因子,这些因子涵盖了反映神经症状态形成的最具信息性的症状学。基于所获得的因子数学模型进行的分析,能够证明症状、综合征与它们形成各阶段临床结构之间的关系。根据所获得的数据,为设计计算机辅助算法诊断神经症状态形成早期阶段的方法奠定了基础。