Unsupervised Machine Learning Identifies Treatment Response to Spironolactone in Patients with Heart Failure with Preserved Ejection Fraction: A TOPCAT Substudy

Background: Heart Failure with Preserved Ejection Fraction (HFpEF) is a heterogenous condition with several subgroups. Spironolactone has been postulated as beneficial therapy in certain patients, i.e. lower ejection fractions or lower natriuretic peptide levels. We aimed to determine whether machine learning (ML) methods could identify treatment responders.
Source: Heart, Lung and Circulation - Category: Cardiology Authors: Tags: 145 Source Type: research