An Algorithm for Determining Feature Importance Based on Dependency Analysis in Predicting Cardiovascular Events

Саидов, А.Д., Туракулов, Ж.А.

Рақамли технологияларнинг назарий ва амалий масалалари · 2025-yil

Annotatsiya

In this article, SHAP values are used to give the model a result close to an accurate one. Which factors are good reasons for the SHAP model's result, some factors have no connection at all, and some other factors might be interfering with the model's result. The problem is that in machine learning, we are spending time and resources on training all the data, but the result remains low. Therefore, by finding the values of SHAP and reducing the factors that do not affect the result according to the data provided, we can obtain a higher result. From this, a new method for determining the values of SHAP was proposed. That is, taking into account the dependence of the data, a method is proposed for obtaining a more accurate result for both the SHAP value and the model value.

Maqola ma’lumotlari
MualliflarСаидов, А.Д., Туракулов, Ж.А.
JurnalРақамли технологияларнинг назарий ва амалий масалалари
NashriyotТАТУ Самарқанд филиали
ISSN2181-3086, 2181-3094
Nashr sanasi2025-07-25
Jild8
Son2
Betlar135-139
TilIngliz
Ilmiy sohaTexnika
DOI10.62132/ijdt.v8i2.275
Indeksga qo‘shilgan2026-08-26

DOI: 10.62132/ijdt.v8i2.275 · Maqolaning asl sahifasi

Kalit so‘zlar

Искусственный интеллект, модель MLP, значения SHAP, значения DeepShap, сердечно-сосудистые заболевания, Artificial intelligence, MLP model, SHAP values, DeepShap values, cardiovascular diseases

Ilmiy soha

Texnika

Iqtibos keltirish

APAСаидов, А.Д., & Туракулов, Ж.А. (2025). An Algorithm for Determining Feature Importance Based on Dependency Analysis in Predicting Cardiovascular Events. Рақамли технологияларнинг назарий ва амалий масалалари, 8(2), 135-139. https://doi.org/10.62132/ijdt.v8i2.275
GOST (OAK)Саидов, А.Д., Туракулов, Ж.А. An Algorithm for Determining Feature Importance Based on Dependency Analysis in Predicting Cardiovascular Events // Рақамли технологияларнинг назарий ва амалий масалалари. – 2025. – T. 8, № 2. – P. 135-139. – DOI: 10.62132/ijdt.v8i2.275.
MLAСаидов, А.Д., and Туракулов, Ж.А. “An Algorithm for Determining Feature Importance Based on Dependency Analysis in Predicting Cardiovascular Events.” Рақамли технологияларнинг назарий ва амалий масалалари, 8(2), 135-139, 2025. https://doi.org/10.62132/ijdt.v8i2.275
ChicagoСаидов, А.Д., and Туракулов, Ж.А. “An Algorithm for Determining Feature Importance Based on Dependency Analysis in Predicting Cardiovascular Events.” Рақамли технологияларнинг назарий ва амалий масалалари, 8(2), 135-139 (2025). https://doi.org/10.62132/ijdt.v8i2.275
HarvardСаидов, А.Д., and Туракулов, Ж.А (2025) ‘An Algorithm for Determining Feature Importance Based on Dependency Analysis in Predicting Cardiovascular Events’, Рақамли технологияларнинг назарий ва амалий масалалари, 8(2), 135-139. https://doi.org/10.62132/ijdt.v8i2.275
BibTeX
@article{article2025,
  title = {An Algorithm for Determining Feature Importance Based on Dependency Analysis in Predicting Cardiovascular Events},
  author = {Саидов, А.Д. and Туракулов, Ж.А.},
  journal = {Рақамли технологияларнинг назарий ва амалий масалалари},
  year = {2025},
  volume = {8},
  number = {2},
  pages = {135-139},
  doi = {10.62132/ijdt.v8i2.275},
  url = {https://doi.org/10.62132/ijdt.v8i2.275}
}

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