DIGITAL PLATFORM FOR COLLECTING AND ANALYZING DATA ON THE SANITARY AND EPIDEMIOLOGICAL WELL- BEING BASED ON GEOGRAPHIC INFORMATION SYSTEMS ...
Despite the widespread use of artificial intelligence algorithms in various fields, its use for solving problems of assessing the state of sanitary and epidemiological well-being and the impact of environmental factors on public health is limited to only a few scientific studies, mainly abroad. The...
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Online Access: | https://dx.doi.org/10.34660/inf.2023.66.55.168 http://search.rads-doi.org/project/12768/object/186529 |
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ftdatacite:10.34660/inf.2023.66.55.168 2023-10-01T03:53:34+02:00 DIGITAL PLATFORM FOR COLLECTING AND ANALYZING DATA ON THE SANITARY AND EPIDEMIOLOGICAL WELL- BEING BASED ON GEOGRAPHIC INFORMATION SYSTEMS ... Fedorov, V.N. Kopytenkova, O.I. Tikhonova, N.A. 2023 https://dx.doi.org/10.34660/inf.2023.66.55.168 http://search.rads-doi.org/project/12768/object/186529 en eng Инфинити http://search.rads-doi.org/project/12768 geoinformation systems public health environmental factors sanitary and epidemiological well-being of the population big data geoportal Russian Arctic analytical processing statistical analysis artificial intelligence ScholarlyArticle article-journal Conference Paper Text 2023 ftdatacite https://doi.org/10.34660/inf.2023.66.55.168 2023-09-04T14:40:55Z Despite the widespread use of artificial intelligence algorithms in various fields, its use for solving problems of assessing the state of sanitary and epidemiological well-being and the impact of environmental factors on public health is limited to only a few scientific studies, mainly abroad. The developed geoinformation portal “Sanitary and epidemiological well- being of the population of the Russian Arctic” is the first interactive information and analytical system on a geoinformation platform in the Russian Arctic to solve such problems. The testing conducted in 2022 made it possible to formulate new directions for development, primarily through the introduction of analysis algorithms based on artificial intelligence. Thanks to these tools for analyzing big data, the Geoportal will allow you to take a fresh look at the problem of a comprehensive assessment of the state of sanitary and epidemiological well-being, taking into account multivariate analysis. ... Text Arctic DataCite Metadata Store (German National Library of Science and Technology) Arctic |
institution |
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collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
topic |
geoinformation systems public health environmental factors sanitary and epidemiological well-being of the population big data geoportal Russian Arctic analytical processing statistical analysis artificial intelligence |
spellingShingle |
geoinformation systems public health environmental factors sanitary and epidemiological well-being of the population big data geoportal Russian Arctic analytical processing statistical analysis artificial intelligence Fedorov, V.N. Kopytenkova, O.I. Tikhonova, N.A. DIGITAL PLATFORM FOR COLLECTING AND ANALYZING DATA ON THE SANITARY AND EPIDEMIOLOGICAL WELL- BEING BASED ON GEOGRAPHIC INFORMATION SYSTEMS ... |
topic_facet |
geoinformation systems public health environmental factors sanitary and epidemiological well-being of the population big data geoportal Russian Arctic analytical processing statistical analysis artificial intelligence |
description |
Despite the widespread use of artificial intelligence algorithms in various fields, its use for solving problems of assessing the state of sanitary and epidemiological well-being and the impact of environmental factors on public health is limited to only a few scientific studies, mainly abroad. The developed geoinformation portal “Sanitary and epidemiological well- being of the population of the Russian Arctic” is the first interactive information and analytical system on a geoinformation platform in the Russian Arctic to solve such problems. The testing conducted in 2022 made it possible to formulate new directions for development, primarily through the introduction of analysis algorithms based on artificial intelligence. Thanks to these tools for analyzing big data, the Geoportal will allow you to take a fresh look at the problem of a comprehensive assessment of the state of sanitary and epidemiological well-being, taking into account multivariate analysis. ... |
format |
Text |
author |
Fedorov, V.N. Kopytenkova, O.I. Tikhonova, N.A. |
author_facet |
Fedorov, V.N. Kopytenkova, O.I. Tikhonova, N.A. |
author_sort |
Fedorov, V.N. |
title |
DIGITAL PLATFORM FOR COLLECTING AND ANALYZING DATA ON THE SANITARY AND EPIDEMIOLOGICAL WELL- BEING BASED ON GEOGRAPHIC INFORMATION SYSTEMS ... |
title_short |
DIGITAL PLATFORM FOR COLLECTING AND ANALYZING DATA ON THE SANITARY AND EPIDEMIOLOGICAL WELL- BEING BASED ON GEOGRAPHIC INFORMATION SYSTEMS ... |
title_full |
DIGITAL PLATFORM FOR COLLECTING AND ANALYZING DATA ON THE SANITARY AND EPIDEMIOLOGICAL WELL- BEING BASED ON GEOGRAPHIC INFORMATION SYSTEMS ... |
title_fullStr |
DIGITAL PLATFORM FOR COLLECTING AND ANALYZING DATA ON THE SANITARY AND EPIDEMIOLOGICAL WELL- BEING BASED ON GEOGRAPHIC INFORMATION SYSTEMS ... |
title_full_unstemmed |
DIGITAL PLATFORM FOR COLLECTING AND ANALYZING DATA ON THE SANITARY AND EPIDEMIOLOGICAL WELL- BEING BASED ON GEOGRAPHIC INFORMATION SYSTEMS ... |
title_sort |
digital platform for collecting and analyzing data on the sanitary and epidemiological well- being based on geographic information systems ... |
publisher |
Инфинити |
publishDate |
2023 |
url |
https://dx.doi.org/10.34660/inf.2023.66.55.168 http://search.rads-doi.org/project/12768/object/186529 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic |
genre_facet |
Arctic |
op_relation |
http://search.rads-doi.org/project/12768 |
op_doi |
https://doi.org/10.34660/inf.2023.66.55.168 |
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1778520198660227072 |