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Upravlenie Bol'shimi Sistemami, 2011, Issue 35, Pages 207–236 (Mi ubs574)  

This article is cited in 1 scientific paper (total in 1 paper)

Control in Medicine, Biology, and Ecology

Efficiency analysis of the programs of exposure of individuals predisposed to colorectal cancer based on imitational modeling

V. Leonenko, N. V. Pertsev

Omsk Branch of the Institute of Mathematics
Full-text PDF (906 kB) Citations (1)
References:
Abstract: We apply mathematical modeling to assert the efficiency of different screening programs for individuals predisposed to colorectal cancer. The criteria of program efficiency are potential years of life lost and the number of examinations within a fixed period of time. A stochastic individual-based model was built describing the dynamics of population size, polyp occurence and growth within the particular individuals, mass examination implementation and polyp detection. The computational algorithm and the modeling program were developed. Computer simulation results reflecting different mass examination scenarios are presented. Recommendations are presented concerning the mass examination programm choice depending on the polyp detection method, the examination frequency and the average life length.
Keywords: colorectal cancer, virtual colonoscopy, potential years of life lost, individual–based model, Monte-Carlo methods, computer simulation.
Document Type: Article
UDC: 51.76+614.2
BBC: 22.17+32.817
Language: Russian
Citation: V. Leonenko, N. V. Pertsev, “Efficiency analysis of the programs of exposure of individuals predisposed to colorectal cancer based on imitational modeling”, UBS, 35 (2011), 207–236
Citation in format AMSBIB
\Bibitem{LeoPer11}
\by V.~Leonenko, N.~V.~Pertsev
\paper Efficiency analysis of the programs of exposure of individuals predisposed to colorectal cancer based on imitational modeling
\jour UBS
\yr 2011
\vol 35
\pages 207--236
\mathnet{http://mi.mathnet.ru/ubs574}
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  • https://www.mathnet.ru/eng/ubs574
  • https://www.mathnet.ru/eng/ubs/v35/p207
  • This publication is cited in the following 1 articles:
    Citing articles in Google Scholar: Russian citations, English citations
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    Upravlenie Bol'shimi Sistemami
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    Abstract page:201
    Full-text PDF :68
    References:35
    First page:2
     
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