Using machine learning to uncover heterogeneity of beta blocker response in heart failure
1Department of Medicine, Division of Cardiology, Cardiovascular Research Institute, University of California, San Francisco, San Francisco, CA, USA.
Abstract:
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.
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