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SUCCESS OF SYMPTOM AND CLINICAL SIGN CLUSTERING BASED ON EXPERIENCE: PROSPECTS IN CLINICAL MEDICINE

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Eurasian Journal of Mathematical Theory and Computer Sciences

Eurasian Journal of Mathematical Theory and Computer Sciences

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ARTICLE ANNOTATION

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This article discusses the significance and application of clustering analysis in categorizing symptoms and clinical signs in clinical medicine. The authors present findings from studies conducted based on experience, demonstrating the success of clustering methods in diagnosing and treating various conditions. Through an analysis of the effectiveness and prospects of such methods, the article draws conclusions about their significant contribution to modern clinical medicine.

AUTHORS

M.Akbarova

Tashkent University of Information Technologies

B.Sharipov

Tashkent University of Information Technologies

K.Djangazova

Tashkent University of Information Technologies

A.Nurdullaev

Tashkent University of Information Technologies

Tags

# analysis# treatment# method# research# diagnosis# contribution# success# conditions

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Article Identifiers

ROI:

https://eroi.uz/11.0201/A0924-0544

DOI:

Not Available

References

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