Predictors of warfarin therapeutic dose across thromboembolic indications: an exploratory early clinical evaluation study using machine learning-integrated explainable artificial intelligence and Bayesian models.

Abstract excerpt

BACKGROUND: Warfarin dosing varies widely due to genetic, demographic, and clinical factors, but it is unknown whether the importance, equilibrium, and prediction uncertainty of established pharmacogenetic predictors (VKORC1 and CYP2C9) differ between arterial (AF/stroke) and venous (DVT/PE) thromboembolic indications. RESEARCH DESIGN AND METHODS: This exploratory study (early clinical evaluation) synthesizes...

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