Diagnostic Medical Classifiers

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Abstract

For the preliminary diagnosis of human diseases based on peripheral blood analysis, a statistical classification approach based on polynomial regression has been developed. It is implemented as two applications. One type of classifier allows you to assess the patient’s condition from healthy to the maximum degree of damage (oncology) within a separate body system. Using a different type of classifier, the area of tumor localization in cancer is identified. For various classification options, the structure of the training set is examined and a comparative analysis is carried out.

About the authors

Boris M. Gavrikov

Federal Research Center “Computer Science and Control” of Russian Academy of Sciences

Author for correspondence.
Email: bmgavrikov@gmail.com

аспирант

Russian Federation, Moscow

Nadia V. Pestryakova

Federal Research Center “Computer Science and Control” of Russian Academy of Sciences

Email: pestryakova@isa.ru

Doctor of Technical Sciences, PhD in Physics and Mathematics

Russian Federation, Moscow

References

  1. Stavitskii R.V., Lebedev L.A., Lebedev A.L., Smyslov A.IU. Kolichestvennaia otsenka gomeostaticheskoi aktivnosti zdorovykh i bolnykh liudei M.: GART. 2013. 131 s.
  2. Gavrikov B.M., Lebedenko I.M., Pestryakova N.V., Stavitskiy R.V. Ob odnom statisticheskom metode otsenivaniya sostoyaniya zdorov'ya cheloveka. // Trudy ISA RAN, 2016. T. 66. № 2. S. 54-59.
  3. Gavrikov B.M., Pestryakova N.V. O postroyenii priznakovogo prostranstva v zadache obucheniya // Informatsionnyye tekhnologii i vychislitel'nyye sistemy. 2018. №1. S. 22-29. doi: 10.14357/20718632180104
  4. Gavrikov B.M., Pestryakova N.V., Stavitskiy R.V. O svoystvakh obuchayushchikh mnozhestv // Informatsionnyye tekhnologii i vychislitel'nyye sistemy. 2018. №4. S.97-107. doi: 10.14357/207186321804010
  5. Gavrikov B.M., Gavrikov M.B., Pestryakova N.V. Statisticheskiy metod raspoznavaniya na osnove nelineynoy regressii. // Matematicheskoye modelirovaniye. 2020. T.32. №4. S.116-130. DOI: 0.20948/mm2020-04-09
  6. Gavrikov B.M., Gavrikov M.B., Pestryakova N.V. O sposobnosti statisticheskogo klassifikatora k obobshcheniyam// Informatsionnyye tekhnologii i vychislitel'nyye sistemy. 2021. № 4. S. 38-50. doi: 10.14357/20718632210404.
  7. Gavrikov B.M., Gavrikov M.B., Pestryakova N.V. O strukture bazy obucheniya klassifikatora dlya otsenivaniya sostoyaniya zdorov'ya cheloveka // Preprinty IPM im. M.V.Keldysha. 2018. №126. 18s. doi: 10.20948/prepr2018-126
  8. Gavrikov B.M., Gavrikov M.B., Pestryakova N.V., Stavitskiy R.V. Struktura bazy obucheniya statisticheskogo klassifikatora sostoyaniy sistem organizma cheloveka // Preprinty IPM im. M.V.Keldysha. 2018. №255. 40s. doi: 10.20948/prepr-2018-255
  9. Gavrikov B.M., Pestryakova N.V.Statisticheskiy klassifikator dlya diagnostiki onkologicheskikh zabolevaniy // Informatsionnyye tekhnologii i vychislitel'nyye sistemy. 2023. № 1. S. 39-49.
  10. Gavrikov B.M., Gavrikov M.B., Pestryakova N.V.Statisticheskiy podkhod k diagnostike onkologicheskikh zabolevaniy po parametram krovi // Preprinty IPM im. M.V.Keldysha. 2022. № 72. 12 s. doi: 10.20948/prepr-2022-72
  11. Gavrikov B.M., Gavrikov M.B., Pestryakova N.V. Prototip sistemy podderzhki prinyatiya resheniy v meditsinskoy diagnostike na osnove statisticheskogo podkhoda // Preprinty IPM im. M.V.Keldysha. 2022. № 76. 23 s. doi: 10.20948/prepr-2022-76.
  12. B.M. Gavrikov, Gavrikov M.B., I.M. Lebedenko, N.V. Pestryakova. Nakhozhdeniye oblasti lokalizatsii onkopatologii po parametram krovi bol'nogo // Preprinty IPM im. M.V.Keldysha. 2023. №24. 15 s. doi: 10.20948/prepr-2023-24.
  13. B.M. Gavrikov, Gavrikov M.B., I.M. Lebedenko, N.V. Pestryakova. Statisticheskiy klassifikator dlya opredeleniya oblasti lokalizatsii onkopatologii po analizu krovi bol'nogo // Preprinty IPM im. M.V.Keldysha. 2024. №22. 15 s. doi: 10.20948/prepr-2024-22.
  14. Gavrikov M.B., Lokutsiyevskiy O.V. Nachala chislennogo analiza. — M.: Yanus, 1995.
  15. Schürmann J. Pattern Slassification. — New York: John Wiley&Sons, Inc. 1996.

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