Estimating individual treatment effects on COPD exacerbations by causal machine learning on randomised controlled trials

Abstract

This study shows that ML models for causal inference can be used to identify individual response to different COPD treatments and highlight treatment traits. Such models could become clinically useful tools for individual treatment decisions in COPD.