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Predicting the risk factors of coronary tortuosity

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Cybernetics and Systems Analysis Aims and scope

Abstract

The risk factors of coronary tortuosity are identified using binary logistic regression and discriminant analysis methods. The qualities of the obtained models are compared. The results of the analysis of the factors can be used to identify risk groups and to develop preventive and therapeutic interventions in these groups of patients.

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References

  1. E. S. Zegers, B. T. J. Meursing, E. B. Zegers, and A. J. M. Oude Ophuis, “Coronary tortuosity: A long and winding road,” Neth. Heart J., No. 15, 191–195 (2007).

  2. G. V. Knyshov, E. A. Nastenko, V. B. Maksimenko, et al., “A technique to determine the true length of tortuous vessels,” in: A Yearbook of Scientific Works of the Association of Cardiovascular Surgeons of Ukraine, Issue 19, 208–212 (2011).

  3. S. G. Grigor’ev, V. I. Yunkerov, and N. B. Klimenko, Logistic Regression. Multidimentional Methods of the Statistical Analysis of Categorical Data of Medical Investigations: A Handbook [in Russian], VMedA, St.-Petersburg (2001).

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Authors and Affiliations

  1. N. M. Amosov National Institute of Cardiovascular Surgery, National Academy of Medical Sciences of Ukraine, Kyiv, Ukraine

    Ye. A. Nastenko & E. O. Lebedeva

  2. National Technical University of Ukraine “Kyiv Polytechnic Institute”, Kyiv, Ukraine

    A. O. Matviychuk

Authors
  1. Ye. A. Nastenko
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  2. A. O. Matviychuk
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  3. E. O. Lebedeva
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Corresponding author

Correspondence to Ye. A. Nastenko.

Additional information

Translated from Kibernetika i Sistemnyi Analiz, No. 5, September–October, 2013, pp. 92–98.

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Nastenko, Y.A., Matviychuk, A.O. & Lebedeva, E.O. Predicting the risk factors of coronary tortuosity. Cybern Syst Anal 49, 720–726 (2013). https://doi.org/10.1007/s10559-013-9559-3

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  • DOI: https://doi.org/10.1007/s10559-013-9559-3

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