Article

Efficient Assessment of the Risk of Elevated Aspartate Aminotransferase Using Machine Learning Methods Based on Routine Biochemical Markers

2025-06-27

Abstract excerpt

This study proposes an interpretable and high-accuracy ensemble learning framework for predicting aspartate aminotransferase (AST) levels using open-access biomedical datasets. Using a structured pipeline of preprocessing, feature selection, and model ensembling, we evaluated a series of regression algorithms including Random Forest, XGBoost, CatBoost, and three stacking architectures. The best-performing ensemble...

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Literature Corpus work: 43ba9cc2-a9e8-5960-a90e-02a51a340a60
DOI: 10.20944/preprints202506.2273.v1

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