Article

Comparison of Assembly Methods in Machine Learning for the Early Prediction of Acute Myocardial Infarction

2025-07-22

Abstract excerpt

Cardiovascular disease (CVD) is one of the leading causes of mortality worldwide, which raises the fundamental need to apply efficient predictive tools to support clinical deci-sion-making. This study compares the predictive performance of Bagging, Random Forest, Extra Trees, Gradient Boosting, and AdaBoost ensemble learning algorithms applied to a clinical dataset of CVD patients. The methodology included data pr...

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Literature Corpus work: 5228cfad-d37e-5f7d-bb56-e73950cdb819
DOI: 10.20944/preprints202507.1750.v1

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