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Problemy Upravleniya, 2011, Issue 1, Pages 63–67 (Mi pu630)  
Control of medicobiologic systems

A logic regression model for illness diagnostics

D. K. Tyumikova, S. A. Blashentsevab, A. M. Subbotinc, N. N. Savchenkova

a Samara State Transport University
b Institute of Postgraduate Education, Samara State Medical University
c Municipal Hospital No. 13, Nizhnii Novgorod
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Abstract: The statistics has been processed by three methods. Correlation coefficients, dispersion ratios (multiple, pair, dispersion ratios of interaction effects and dispersion ratios of interconnection effects) and information measures (multiple and pair) have been calculated. Their analysis served as the basis for selecting dominant variables, and proposed logic regression model for illness diagnostics.
Keywords: correlation coefficients, dispersion ratios, information measures of association, dominant variables, logic regression model.
Document Type: Article
UDC: 681.5.015
Language: Russian
Citation: D. K. Tyumikov, S. A. Blashentseva, A. M. Subbotin, N. N. Savchenkov, “A logic regression model for illness diagnostics”, Probl. Upr., 2011, no. 1, 63–67
Citation in format AMSBIB
\Bibitem{TyuBlaSub11}
\by D.~K.~Tyumikov, S.~A.~Blashentseva, A.~M.~Subbotin, N.~N.~Savchenkov
\paper A logic regression model for illness diagnostics
\jour Probl. Upr.
\yr 2011
\issue 1
\pages 63--67
\mathnet{http://mi.mathnet.ru/pu630}
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