Научный журнал Моделирование, оптимизация и информационные технологииThe scientific journal Modeling, Optimization and Information Technology
cетевое издание
issn 2310-6018

ALGORITHMIZATION OF DISEASE MORBIDITY DATA MINING AT REGIONAL AND MUNICIPAL LEVELS

Choporov O.N.   Zolotukhin O.O.   Bolgov S.V.  

UDC 681.3
DOI:

  • Abstract
  • List of references
  • About authors

In the course of multilevel monitoring of disease morbidity the authors propose a succession of stages for carrying out data mining: 1) formation of informative database; 2) comparative data analysis according to distinct geographical units; 3) analysis of a current state, dynamics of the analyzed indices and forecasting their changes; 4) interrelation analysis of the population morbidity indices and resources provision and work of a psychiatric service; 5) classification of the Region’s areas according to morbidity level of the analyzed pathology. The authors offer a complex of methods and means, allowing solving the original problems.

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Choporov Oleg Nikolaevich
Doctor of Technical Sciences Professor
Email: choporov_oleg@mail.ru

Voronezh Institute of High Technologies

Voronezh, Russian Federation

Zolotukhin Oleg Oleg
Candidate of Medical Sciences

Voronezh State Medical University of N.N. Burdenko

Voronezh, Russian Federation

Bolgov Sergey Vyacheslavovich
Candidate of Medical Sciences Associate Professor

Орловский государственный университеn

Orel, Russian Federation

Keywords: morbidity analysis, multilevel monitoring, time-series analysis, exponential smoothing, geographical units’ classification

For citation: Choporov O.N. Zolotukhin O.O. Bolgov S.V. ALGORITHMIZATION OF DISEASE MORBIDITY DATA MINING AT REGIONAL AND MUNICIPAL LEVELS. Modeling, Optimization and Information Technology. 2015;3(2). Available from: https://moit.vivt.ru/wp-content/uploads/2015/06/ChoporovZolotuhinBoglov_2_15_1.pdf DOI: (In Russ).

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