A machine-learning approach to detect heart disease

Turaeva , Makhliyo Shokir kizi

Pioneering Studies and Theories · 2025-yil

Annotatsiya

Moreover, heart disease has kept on being the leading cause of death worldwide, hence the importance of coming up with different strategies for early detection and diagnosis. Machine learning algorithms have been found to be very efficient in diagnosing various cardiac diseases, through approaches such as Support Vector Machines (SVM), Random Forest, Neural Networks, and Logistic Regression. The materials of this research consist of a dataset that has various health markers, such as age, blood pressure, cholesterol level, and other clinical factors that are relevant to this issue. The Random Forest classifier was the only one with an incredible accuracy of 97.5% to outsmart the rest of the algorithms used. It also managed to record a 0.998 Area Under the Curve (AUC) score and F1, Precision, and Recall scores of 97.5% .

Maqola ma’lumotlari
MualliflarTuraeva , Makhliyo Shokir kizi
JurnalPioneering Studies and Theories
NashriyotХалқаро Нордик университети
ISSN3060-5105, 3060-5105
Nashr sanasi2025-05-11
Jild1
Son5
Betlar41-47
TilIngliz
Ilmiy sohaIqtisodiyot
Indeksga qo‘shilgan2026-08-26

Maqolaning asl sahifasi

Kalit so‘zlar

Diagnosis, internal analysis, Dentistry, effective treatment, treatment plan, Dental diseases

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Iqtisodiyot

Iqtibos keltirish

APATuraeva , Makhliyo Shokir kizi (2025). A MACHINE-LEARNING APPROACH TO DETECT HEART DISEASE. Pioneering Studies and Theories, 1(5), 41-47. https://pstjournal.uz/index.php/pst/article/view/47
GOST (OAK)Turaeva , Makhliyo Shokir kizi A MACHINE-LEARNING APPROACH TO DETECT HEART DISEASE // Pioneering Studies and Theories. – 2025. – T. 1, № 5. – P. 41-47.
MLATuraeva , Makhliyo Shokir kizi. “A MACHINE-LEARNING APPROACH TO DETECT HEART DISEASE.” Pioneering Studies and Theories, 1(5), 41-47, 2025. https://pstjournal.uz/index.php/pst/article/view/47
ChicagoTuraeva , Makhliyo Shokir kizi. “A MACHINE-LEARNING APPROACH TO DETECT HEART DISEASE.” Pioneering Studies and Theories, 1(5), 41-47 (2025). https://pstjournal.uz/index.php/pst/article/view/47
HarvardTuraeva , Makhliyo Shokir kizi (2025) ‘A MACHINE-LEARNING APPROACH TO DETECT HEART DISEASE’, Pioneering Studies and Theories, 1(5), 41-47. https://pstjournal.uz/index.php/pst/article/view/47
BibTeX
@article{turaevamakhliyoshokirkizi2025,
  title = {A MACHINE-LEARNING APPROACH TO DETECT HEART DISEASE},
  author = {Turaeva , Makhliyo Shokir kizi},
  journal = {Pioneering Studies and Theories},
  year = {2025},
  volume = {1},
  number = {5},
  pages = {41-47},
  url = {https://pstjournal.uz/index.php/pst/article/view/47}
}

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