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.
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.
| № | Author name | position | Name of organisation |
|---|---|---|---|
| 1 | Akbarova M.K. | Associate professor | Tashkent University of Information Technologies |
| 2 | Sharipov B.A. | Senior lecturer | Tashkent University of Information Technologies |
| 3 | Djangazova K.A. | Assistant | Tashkent University of Information Technologies |
| 4 | Nurdullaev A.N. | Assistant | Tashkent University of Information Technologies |
| № | Name of reference |
|---|---|
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