ArticleBiomedical engineering and computational biology2025
Machine Learning based Model Reveals the Metabolites Involved in Coronary Artery Disease.
Article in Biomedical engineering and computational biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Introduction: Coronary artery disease (CAD) is a major global cause of morbidity and mortality. Therefore, advances in early identification and individualized treatment plans are crucial. Methods: This article presents machine learning (ML) based model that can recognize metabolomic compounds associated with CAD in the Qatari population for the early detection of CAD. We also identified statistically significant metabolic profiles and potential biomarkers using ML methods. Results: Among all ML models, artificial neural network (ANN) outstands all with an accuracy of 91.67%, recall of 80.0%, and specificity of 100%. The results show that 173 metabolites ( Conclusion: We believe our study will support in advancing personalized diagnosis plan for CAD patients by considering the metabolites involved in CAD.
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