HIGHLIGHTS
- who: Eleftherios Panteris and colleagues from the Laboratory of Forensic Medicine and Toxicology, School of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece have published the research: Machine Learning Algorithm to Predict Obstructive Coronary Artery Disease: Insights from the CorLipid Trial, in the Journal: Metabolites 2022, 816 of /2022/
- what: In the present analysis, hyperparameter tuning is implemented in each individual stage of the central 10CV technique. Focusing now on the primary aim of the CORLIPID study, the comparison of metabolic biomarkers among the CAD subgroups yielded some significant differences as detailed in Table S4. In . . .
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