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We compared logistic regression, LightGBM, artificial neural networks (ANNs), and support vector classifier (SVC), to identify the best model for predicting GLP-1 M responsiveness
There is also some risk for unmeasured confounding, and factors like bias because of unmeasured variables, dosing differences, using brand as a proxy for target dose, and missing information could have affected the results
L-carnitine in cardiogenic shock therapy: pharmacodynamic aspects and clinical data
J3420 covers only the drug itself: the cyanocobalamin vial
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