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Патология кровообращения и кардиохирургия
Article . 2011
Data sources: CyberLeninka - Russian open access scientific library
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Методы исследования операций и когнитивного анализа данных в решении задач лечебно-профилактических учреждений

descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 2011 Russian Publisher:ФГБУ «Новосибирский научно-исследовательский институт патологии кровообращения им. акад. Е.Н. Мешалкина» Минздрава РоссииJournal:Патология кровообращения и кардиохирургия (issn: 1681-3472, eissn: 2500-3119 , Copyright policy )

Методы исследования операций и когнитивного анализа данных в решении задач лечебно-профилактических учреждений

Abstract

This article focuses on the Russian healthcare system informatization prospects and the possibilities of applying mathematical methods such as cognitive data mining and operations research in healthcare. Also described are a few tasks that could be solved by using the above methods in a healthcare facility.

Представлены перспективы информатизации российского здравоохранения, раскрываются возможности применения в здравоохранении математических методов из области когнитивного анализа данных и исследования операций. Описаны задачи, которые могут быть решены этими методами в медицинском учреждении.

Keywords

КОГНИТИВНЫЙ АНАЛИЗ ДАННЫХ, ИССЛЕДОВАНИЕ ОПЕРАЦИЙ, ОПТИМИЗАЦИЯ, ПЛАНИРОВАНИЕ РЕСУРСОВ, КОМПЛЕКСНАЯ МЕДИЦИНСКАЯ ИНФОРМАЦИОННАЯ СИСТЕМА

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
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