Is it possible to perform a comprehensive analysis of the diagnostic data of mental diseases in the early stages?
The work annotates the goals and objectives of the planned joint Russian-Israeli research project aimed at a comprehensive assessment of the data obtained during the examination of patients with mild cognitive decline and autism spectrum disorders. The process of their analysis will be based on comp...
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| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | Russian |
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Federal State Budget Scientific Institution National Medical Research Center for Psychiatry and Neurology n.a. V.M. Bekhterev Ministry of Health of the Russian Federation
2019-05-01
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| Series: | Обозрение психиатрии и медицинской психологии имени В.М. Бехтерева |
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| Online Access: | https://www.bekhterevreview.com/jour/article/view/236 |
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| author | N. M. Zalutskaya A. Eran Sh. Freilikhman R. Balicer N. A. Gomzyakova V. V. Korkhov N. G. Neznanov A. V. Bogdanov A. B. Degtyarev |
| author_facet | N. M. Zalutskaya A. Eran Sh. Freilikhman R. Balicer N. A. Gomzyakova V. V. Korkhov N. G. Neznanov A. V. Bogdanov A. B. Degtyarev |
| author_sort | N. M. Zalutskaya |
| collection | DOAJ |
| description | The work annotates the goals and objectives of the planned joint Russian-Israeli research project aimed at a comprehensive assessment of the data obtained during the examination of patients with mild cognitive decline and autism spectrum disorders. The process of their analysis will be based on complex methods, the effective use of which requires readily available means of operating with clinical and biological data, which, in turn, can be implemented through modern cloud and high-performance computing technologies. It is planned to use the new approach associated with the use of newSQL database as an API, and then use the distributed computing tools for working with heterogeneous data, which will lead to features in the analysis of correlations in multidimensional data arrays. For this purpose it is planned to use the methods of multidimensional statistical analysis and modern methods of machine learning. |
| format | Article |
| id | doaj-art-6c72c7655fb64319b2cff62044e4a9b6 |
| institution | DOAJ |
| issn | 2313-7053 2713-055X |
| language | Russian |
| publishDate | 2019-05-01 |
| publisher | Federal State Budget Scientific Institution National Medical Research Center for Psychiatry and Neurology n.a. V.M. Bekhterev Ministry of Health of the Russian Federation |
| record_format | Article |
| series | Обозрение психиатрии и медицинской психологии имени В.М. Бехтерева |
| spelling | doaj-art-6c72c7655fb64319b2cff62044e4a9b62025-08-20T02:49:19ZrusFederal State Budget Scientific Institution National Medical Research Center for Psychiatry and Neurology n.a. V.M. Bekhterev Ministry of Health of the Russian FederationОбозрение психиатрии и медицинской психологии имени В.М. Бехтерева2313-70532713-055X2019-05-0101778110.31363/2313-7053-2019-1-77-81233Is it possible to perform a comprehensive analysis of the diagnostic data of mental diseases in the early stages?N. M. Zalutskaya0A. Eran1Sh. Freilikhman2R. Balicer3N. A. Gomzyakova4V. V. Korkhov5N. G. Neznanov6A. V. Bogdanov7A. B. Degtyarev8Federal state budgetary institution «V.M.Bekhterev National Research Medical Center for Psychiatry and Neurology» of the Russian Federation Ministry of Health , St-PetersburgThe Center for Evolutionary Genomics and Medicine, Ben-Gurion University of NegevThe Center for Evolutionary Genomics and Medicine, Ben-Gurion University of NegevClalit Research InstituteFederal state budgetary institution «V.M.Bekhterev National Research Medical Center for Psychiatry and Neurology» of the Russian Federation Ministry of Health , St-PetersburgSt. Petersburg State UniversityFederal state budgetary institution «V.M.Bekhterev National Research Medical Center for Psychiatry and Neurology» of the Russian Federation Ministry of Health , St-PetersburgSt. Petersburg State UniversitySt. Petersburg State UniversityThe work annotates the goals and objectives of the planned joint Russian-Israeli research project aimed at a comprehensive assessment of the data obtained during the examination of patients with mild cognitive decline and autism spectrum disorders. The process of their analysis will be based on complex methods, the effective use of which requires readily available means of operating with clinical and biological data, which, in turn, can be implemented through modern cloud and high-performance computing technologies. It is planned to use the new approach associated with the use of newSQL database as an API, and then use the distributed computing tools for working with heterogeneous data, which will lead to features in the analysis of correlations in multidimensional data arrays. For this purpose it is planned to use the methods of multidimensional statistical analysis and modern methods of machine learning.https://www.bekhterevreview.com/jour/article/view/236dementiamild cognitive declinebiomarkersautistic spectrumheterogeneous dataconsolidationgrid technologies |
| spellingShingle | N. M. Zalutskaya A. Eran Sh. Freilikhman R. Balicer N. A. Gomzyakova V. V. Korkhov N. G. Neznanov A. V. Bogdanov A. B. Degtyarev Is it possible to perform a comprehensive analysis of the diagnostic data of mental diseases in the early stages? Обозрение психиатрии и медицинской психологии имени В.М. Бехтерева dementia mild cognitive decline biomarkers autistic spectrum heterogeneous data consolidation grid technologies |
| title | Is it possible to perform a comprehensive analysis of the diagnostic data of mental diseases in the early stages? |
| title_full | Is it possible to perform a comprehensive analysis of the diagnostic data of mental diseases in the early stages? |
| title_fullStr | Is it possible to perform a comprehensive analysis of the diagnostic data of mental diseases in the early stages? |
| title_full_unstemmed | Is it possible to perform a comprehensive analysis of the diagnostic data of mental diseases in the early stages? |
| title_short | Is it possible to perform a comprehensive analysis of the diagnostic data of mental diseases in the early stages? |
| title_sort | is it possible to perform a comprehensive analysis of the diagnostic data of mental diseases in the early stages |
| topic | dementia mild cognitive decline biomarkers autistic spectrum heterogeneous data consolidation grid technologies |
| url | https://www.bekhterevreview.com/jour/article/view/236 |
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