SOLVING DIABETES DIAGNOSIS PROBLEMS USING MACHINE LEARNING

Authors

  • Дилноз Мухамедиева
    SOLVING DIABETES DIAGNOSIS PROBLEMS USING MACHINE LEARNING
  • Нафиса Турғунова
    National Research University "Tashkent Institute of Irrigation and Agricultural Mechanization Engineers", Uzbekistan
  • Мохинур Рауфова
    National Research University "Tashkent Institute of Irrigation and Agricultural Mechanization Engineers", Uzbekistan
  • Ахлиддин Нажмиддинов
    National Research University "Tashkent Institute of Irrigation and Agricultural Mechanization Engineers", Uzbekistan

Abstract

: In this paper, we will look at the diverse applications of machine learning in problems related to diabetes diagnosis, and also highlight the role of machine learning in enhancing modern medical practice and improving the quality of life of patients with diabetes.

Keywords:

machine learning, linear regression, Naive Bayes classifier model, support vector machine, root mean square error, coefficient of determination

References

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How to Cite

Мухамедиева, Д., Турғунова, Н., Рауфова , М., & Нажмиддинов , А. (2024). SOLVING DIABETES DIAGNOSIS PROBLEMS USING MACHINE LEARNING. Universal International Scientific Journal, 1(7), 51–57. Retrieved from https://universaljurnal.uz/index.php/jurnal/article/view/872

Issue

Vol. 1 No. 7 : “YANGI O‘ZBEKISTONNING TARAQQIYOT DAVRIDA FAN, TA’LIM VA INNOVATSION TEXNOLOGIYALARNI RIVOJLANTIRISHNING DOLZARB MASALALARI”

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Copyright (c) 2024 Дилноз Мухамедиева, Нафиса Турғунова, Мохинур Рауфова , Ахлиддин Нажмиддинов

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

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