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calendar15 Dekabr 2019
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The algorithm of classification of medical data in space of the informative signs with use of functions of range and closeness.

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ARTICLE ANNOTATION

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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.

AUTHORS

M.Kamilov

TATU

A.Nishanov

TATU

G.Jurayev

Qarshi davlat universiteti

Tags

# алгоритмы вычисления оценок# синф объектлари# ўқув танланма# информатив белгилар# узоқлик функцияси# яқинлик функцияси# баҳоларни ҳисоблаш алгоритмлари# Объекты класса# обучающая выборка# информативные признаки# функции дальности# функция близости# class objects# training set# informative features# range of functions# proximity function

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References

1. Juravlev YU.I. Izbranny'e nauchny'e trudy'. -M: Izdatel'stvo Magistr, 1998. -420s. 2. Juravlev YU.I., Kamilov M.M., Tulyaganov SH.E. Algoritmy' vy'chisleniya ocenok i ih primenenie. Tashkent: Fan, 1974. 119s. 3. KamilovM.M., Nishanov A.H., Beglerbekov R.J. Primenenie reshayusch'ego pravila dlya vy'bora informativny'h naborov priznakov // Himicheskaya tehnologiya. Kontrol' i upravlenie. - Tashkent, 2017, №3. - 82-85. 4. Nishanov A.H., Hudayberdiev M.H. Masofadan u'қitish tizimlarida timsollarni aniқlashning adaptiv modellari.Tashkent: Navru'z.2017y. -132b. 5. NishanovA.H., Babadjanov E`.S. Interaktiv ahborot muҳitida e`lektron hizmatlar. Tashkent: Aloқachi. 2017y. -254b. 6. Fazy'lov SH.H., Nishanov A.H., Mamatov N.S. Metody' i algoritmy' vy'bora informativny'h priznakov na osnove e`vristicheskih kriteriev informativnosti. Tashkent: «Fan va texnologiya». 2017g. -132s.