Lipidomic-Based Algorithms Can Enhance Prediction of Obstructive Coronary Artery Disease
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DOI: 10.1021/acs.jproteome.4c00249
Abstract: Lipidomics emerges as a promising research field with the potential to help in personalized risk stratification and improve our understanding on the functional role of individual lipid species in the metabolic perturbations occurring in coronary… read more here.
Keywords: coronary artery; artery disease; obstructive cad; prediction obstructive ... See more keywords
Machine learning insight into the role of imaging and clinical variables for the prediction of obstructive coronary artery disease and revascularization: An exploratory analysis of the CONSERVE study
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DOI: 10.1371/journal.pone.0233791
Abstract: Background Machine learning (ML) is able to extract patterns and develop algorithms to construct data-driven models. We use ML models to gain insight into the relative importance of variables to predict obstructive coronary artery disease… read more here.
Keywords: machine learning; cad; study; model ... See more keywords