title: Efficiency assessment of clinical decision support system
metadata.name: dc.contributor.author
metadata.value: Kupeeva, Irina A.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Raznatovskiy, Constantine I.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Ravodin, Roman A.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Karelin, Vladimir V.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Bure, Vladimir M.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Gusarov, Mikhail V.
metadata.lang: -
metadata.name: dc.date.accessioned
metadata.value: 2016-08-02T10:51:54Z
metadata.lang: -
metadata.name: dc.date.available
metadata.value: 2016-08-02T10:51:54Z
metadata.lang: -
metadata.name: dc.date.issued
metadata.value: 2016-06
metadata.lang: -
metadata.name: dc.identifier.uri
metadata.value: http://hdl.handle.net/11701/2525
metadata.lang: -
metadata.name: dc.description.abstract
metadata.value: In the article the authors developed an intelligent decision support system for medical
  solutions (ISPPVR) on dermatology, received the name “Logoderm”. This system has a modular structure and is able to perform an automated analysis of dermatologic diseases’ symptoms. The
  introduction of intelligent decision support system for medical solutions to practical medicine
  can provide significant economic benefits, as it will relieve patients from having to carry out
  costly flights from the cities and towns of the country to the small number of large cities, in
  which there are the leading medical centers from that medical field. The article with the help
  of statistical analysis conducted study of the efficiency of the developed system. The possibility
  of the practical using of this system is proved. Refs 8. Table 1.
metadata.lang: en_GB
metadata.name: dc.description.sponsorship
metadata.value: Работа выполнена при финансовой поддержке Российского фонда фундаментальных исследований (грант №   14-01-31521 мол-а) и Санкт-Петербургского государственного университета (НИР, проект №   9.38.205.2014).
metadata.lang: en_GB
metadata.name: dc.language.iso
metadata.value: ru
metadata.lang: en_GB
metadata.name: dc.publisher
metadata.value: St Petersburg State University
metadata.lang: en_GB
metadata.name: dc.relation.ispartofseries
metadata.value: Vestnik of St Petersburg University. Series 10. Applied Mathematics. Computer Science. Control Processes;Issue 2
metadata.lang: -
metadata.name: dc.subject
metadata.value: Web graph
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: site
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: hyperlink
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: hyperlinked structure
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: statistical dependence
metadata.lang: en_GB
metadata.name: dc.title
metadata.value: Efficiency assessment of clinical decision support system
metadata.lang: en_GB
metadata.name: dc.type
metadata.value: Article
metadata.lang: en_GB
resources.filename: Купеева_Разнатовский_Раводин_и_др.pdf
resources.url: https://dspace.spbu.ru/bitstream/11701/2525/1/%d0%9a%d1%83%d0%bf%d0%b5%d0%b5%d0%b2%d0%b0_%d0%a0%d0%b0%d0%b7%d0%bd%d0%b0%d1%82%d0%be%d0%b2%d1%81%d0%ba%d0%b8%d0%b9_%d0%a0%d0%b0%d0%b2%d0%be%d0%b4%d0%b8%d0%bd_%d0%b8_%d0%b4%d1%80.pdf
resources.format: Adobe PDF
resources.size: 181,3 kB