Using machine learning to uncover heterogeneity of beta blocker response in heart failure

Abstract

Summary A recent study by Karwath et al. 1 in The Lancet applied machine learning-based cluster analysis to pooled data from nine double-blind, randomized controlled trials of beta blockers, identifying subgroups of efficacy in patients with sinus rhythm and atrial fibrillation.