The algorithm of classification of medical data in space of the informative signs with use of functions of range and closeness

Authors

M.M Kamilov, Academician of the Academy of Sciences of the Republic of Uzbekistan, Doctor of Technical Sciences, Professor, Scientific and Innovation Center for Information and Communication Technologies at the Tashkent University of Information Technologies named after Muhammad al-Khorazmiy. Phone: (+ 99871) 238-65-07;
A.H Nishanov, Doctor of Technical Sciences, professor of the department “POIT”, Tashkent University of Information Technologies named after Muhammad al-Khwarizmi. Tel.:+99893-599-29-22 (м.),Follow
G.P Dzhurayev, senior teacher Regional center for retraining and advanced training of public education workers at Karshi State University

Abstract

In the article, the diseases commonly associated with the diagnosis in medicine are associated with headaches, which are the most common neurological diseases. An algorithm for determining the space of informative attributes for the objects of the considered class and assigning the significance level of the selected diagnosis from a complex of diagnoses belonging to the same class, relative to others, using algorithms for computing estimates based on the features of the processes of making diagnostic decisions in medicine.

First Page

143

Last Page

150

References

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Recommended Citation

Kamilov, M.M; Nishanov, A.H; and Dzhurayev, G.P (2018) "The algorithm of classification of medical data in space of the informative signs with use of functions of range and closeness," Chemical Technology, Control and Management: Vol. 2018: Iss. 1, Article 24.
DOI: https://doi.org/10.34920/2018.1-2.143-150