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

Mualliflar

  • Marguba Akbarova Associate professor of the Department of "System and Application Programming" of the Tashkent University of Information Technologies named after Muhammad al-Khwarizmi. Muallif
  • Bahodir Sharipov Senior lecturer of the Department of "Systematic and Applied Programming" of Tashkent University of Information Technologies named after Muhammad al-Khwarizmi, Uzbekistan. Muallif
  • Kumriniso Djangazova Assistant of the Department of "Systematic and Applied Programming" of Tashkent University of Information Technologies named after Muhammad al-Khwarizmi, Uzbekistan. Muallif
  • Alisher Nurdullaev Assistant of the Department of "Systematic and Applied Programming" of Tashkent University of Information Technologies named after Muhammad al-Khwarizmi, Uzbekistan. Muallif

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Success, method, analysis, research, diagnosis, treatment, conditions, contribution, clinical medicine.

Abstrak

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.

Iqtiboslar

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Nashr qilingan

2024-05-10

Iqtibos keltirish tartibi

SUCCESS OF SYMPTOM AND CLINICAL SIGN CLUSTERING BASED ON EXPERIENCE: PROSPECTS IN CLINICAL MEDICINE. (2024). Yevroosiyo Matematik Nazariya Va Kompyuter Fanlari Jurnali, 4(5), 16-19. https://in-academy.uz/index.php/EJMTCS/article/view/8746