Determination of adverse pregnancy outcomes using discriminant function analysis

Authors

  • Елена Владимировна Высоцкая Kharkiv National University of Radioelectronics, Lenin Ave. 14, Kharkiv, Ukraine, 61166, Ukraine https://orcid.org/0000-0003-3723-9771
  • Андрей Павлович Порван Kharkiv National University of Radioelectronics, Lenin Ave. 14, Kharkiv, Ukraine, 61166, Ukraine https://orcid.org/0000-0001-9727-0995
  • Анна Александровна Пойменова Kharkiv National University of Radioelectronics, Lenin Ave. 14, Kharkiv, Ukraine, 61166, Ukraine
  • Сергей Викторович Коровай Kharkiv Perinatal Center, Saltivske shosse st., 264b, Kharkiv, Ukraine, 61176, Ukraine
  • Павел Игоревич Стеценко Kharkiv National University of Radioelectronics, Lenin Ave. 14, Kharkiv, Ukraine, 61166, Ukraine

DOI:

https://doi.org/10.15587/2312-8372.2015.56806

Keywords:

discriminant function analysis, mathematical model, pregnancy, premature birth

Abstract

The article is devoted to determination of adverse pregnancy outcomes, using discriminant function analysis, which improves the efficiency of diagnosis and prognosis of this condition by improving the accuracy of determining the likely outcome, which is achieved by obtaining informative, prognostic significant signs. The calculation of diagnostic coefficient values by the selected method allows revealing 6 significant characteristics of protein, carbohydrate, nucleic acid and mineral metabolism and canonical coefficients to determine the pregnancy outcome. The use of discriminant functions and the most significant characteristics allows synthesizing a new mathematical model for determining the pregnancy outcome, which allows describing the condition of the patient. The validity of the synthesized mathematical model has been confirmed by independent testing factors on sample examination with classification accuracy for which amounted to 95,8 %. This method has several advantages: takes into account the variability of parameters included in the model, considering the totality of all the prognostic value and indicates the proportion of the impact of each characteristic on the formation of the severity of the condition. The results provide a timely opportunity to choose the optimal treatment and care of women with threatened miscarriage.

Author Biographies

Елена Владимировна Высоцкая, Kharkiv National University of Radioelectronics, Lenin Ave. 14, Kharkiv, Ukraine, 61166

Candidate of Technical Sciences, Professor

Department of Biomedical Engineering

Андрей Павлович Порван, Kharkiv National University of Radioelectronics, Lenin Ave. 14, Kharkiv, Ukraine, 61166

Candidate of Technical Sciences, Senior Researcher

Department of Biomedical Engineering

Анна Александровна Пойменова, Kharkiv National University of Radioelectronics, Lenin Ave. 14, Kharkiv, Ukraine, 61166

Department of Biomedical Engineering

Сергей Викторович Коровай, Kharkiv Perinatal Center, Saltivske shosse st., 264b, Kharkiv, Ukraine, 61176

Сandidate of Medical Sciences, Head of Department

Department of Gynecology

Павел Игоревич Стеценко, Kharkiv National University of Radioelectronics, Lenin Ave. 14, Kharkiv, Ukraine, 61166

Department of Information Technology Security

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Published

2015-11-26

How to Cite

Высоцкая, Е. В., Порван, А. П., Пойменова, А. А., Коровай, С. В., & Стеценко, П. И. (2015). Determination of adverse pregnancy outcomes using discriminant function analysis. Technology Audit and Production Reserves, 6(2(26), 13–16. https://doi.org/10.15587/2312-8372.2015.56806

Issue

Vol. 6 No. 2(26) (2015): Mathematical modeling. Information technologies

Section

Mathematical Modeling: Original Research

License

Copyright (c) 2016 Елена Владимировна Высоцкая, Андрей Павлович Порван, Анна Александровна Пойменова, Сергей Викторович Коровай, Павел Игоревич Стеценко

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