Development of Diabetes Diagnosis Algorithms Based on Machine Learning Ensembles

Сариев, Ш.Н.

Рақамли технологияларнинг назарий ва амалий масалалари · 2025-yil

Annotatsiya

In this study, algorithms were developed for applying ensemble models of machine learning algorithms - LightGBM, AdaBoost, and HGB - in the diagnosis of diabetes mellitus. In the study, attributes with high correlation were selected from the dataset, and the models were tested by dividing them into training and test sets. For each model, accuracy, precision, recall, F1-scores, and AUC-ROC indicators were calculated. The results of the experiment revealed that HGB and LightGBM demonstrated higher efficiency among the three models. These models demonstrate a high advantage in the analysis of complex clinical data. This research demonstrates that machine learning algorithms are an effective tool for the early diagnosis of diabetes mellitus. It will serve as an important scientific foundation for the development of automated diagnostic systems in the healthcare sector.

Maqola ma’lumotlari
MualliflarСариев, Ш.Н.
JurnalРақамли технологияларнинг назарий ва амалий масалалари
NashriyotТАТУ Самарқанд филиали
ISSN2181-3086, 2181-3094
Nashr sanasi2025-07-25
Jild8
Son2
Betlar87-94
TilIngliz
Ilmiy sohaTexnika
DOI10.62132/ijdt.v8i2.267
Indeksga qo‘shilgan2026-08-26

DOI: 10.62132/ijdt.v8i2.267 · Maqolaning asl sahifasi

Kalit so‘zlar

AdaBoost, LightGBM, HGB, диабет, AdaBoost, LightGBM, HGB, diabetes

Ilmiy soha

Texnika

Iqtibos keltirish

APAСариев, Ш.Н. (2025). Development of Diabetes Diagnosis Algorithms Based on Machine Learning Ensembles. Рақамли технологияларнинг назарий ва амалий масалалари, 8(2), 87-94. https://doi.org/10.62132/ijdt.v8i2.267
GOST (OAK)Сариев, Ш.Н. Development of Diabetes Diagnosis Algorithms Based on Machine Learning Ensembles // Рақамли технологияларнинг назарий ва амалий масалалари. – 2025. – T. 8, № 2. – P. 87-94. – DOI: 10.62132/ijdt.v8i2.267.
MLAСариев, Ш.Н. “Development of Diabetes Diagnosis Algorithms Based on Machine Learning Ensembles.” Рақамли технологияларнинг назарий ва амалий масалалари, 8(2), 87-94, 2025. https://doi.org/10.62132/ijdt.v8i2.267
ChicagoСариев, Ш.Н. “Development of Diabetes Diagnosis Algorithms Based on Machine Learning Ensembles.” Рақамли технологияларнинг назарий ва амалий масалалари, 8(2), 87-94 (2025). https://doi.org/10.62132/ijdt.v8i2.267
HarvardСариев, Ш.Н (2025) ‘Development of Diabetes Diagnosis Algorithms Based on Machine Learning Ensembles’, Рақамли технологияларнинг назарий ва амалий масалалари, 8(2), 87-94. https://doi.org/10.62132/ijdt.v8i2.267
BibTeX
@article{article2025,
  title = {Development of Diabetes Diagnosis Algorithms Based on Machine Learning Ensembles},
  author = {Сариев, Ш.Н.},
  journal = {Рақамли технологияларнинг назарий ва амалий масалалари},
  year = {2025},
  volume = {8},
  number = {2},
  pages = {87-94},
  doi = {10.62132/ijdt.v8i2.267},
  url = {https://doi.org/10.62132/ijdt.v8i2.267}
}

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