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К созданию прикладной интеллектуальной системы диагностики когнитивной сферы пациентов с неврологической патологией В. Б. Обуховская

By: Обуховская, Виктория БорисовнаMaterial type: ArticleArticleContent type: Текст Media type: электронный Other title: To the creation of applied intelligent system of diagnostics of cognitive sphere of patients with neurological disorders [Parallel title]Subject(s): интеллектуальные системы | диагностика когнитивной сферы | неврологические нарушенияGenre/Form: статьи в сборниках Online resources: Click here to access online In: Перспективы развития фундаментальных наук. Т. 3 : сборник научных трудов XVI Международной конференции студентов, аспирантов и молодых ученых, 23-26 апреля 2019 г Т. 3 : Математика. С. 88-91Abstract: The publication is devoted to the creation of an applied intelligent diagnostic system of the cognitive sphere for patients with neurological pathology (IS DIAKOS.) The applied IS DIAKOS is constructed on the basis of the intelligent instrumental tool IMSLOG and is based on test methods of the pattern recognition, fault-tolerant mixed diagnostic tests. The application of the applied IS DIAKOS will allow: to reveal various kinds of regularities in the cognitive sphere of patients; make diagnostic decisions and justify them using graphical, including cognitive, tools. The above mentioned is of great importance for the prediction of rehabilitation activities.
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The publication is devoted to the creation of an applied intelligent diagnostic system of the cognitive
sphere for patients with neurological pathology (IS DIAKOS.) The applied IS DIAKOS is constructed on the basis
of the intelligent instrumental tool IMSLOG and is based on test methods of the pattern recognition, fault-tolerant
mixed diagnostic tests. The application of the applied IS DIAKOS will allow: to reveal various kinds of regularities
in the cognitive sphere of patients; make diagnostic decisions and justify them using graphical, including cognitive,
tools. The above mentioned is of great importance for the prediction of rehabilitation activities.

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