Machine-Learning-Based High-Benefit Approach versus Conventional High-Risk Approach in Blood Pressure Management

In medicine, clinicians treat individuals under an implicit assumption that high-risk patients would benefit most from the treatment (‘high-risk approach’). However, treating individuals with the highest estimated benefit using a novel machine-learning method (‘high-benefit approach’) may improve population health outcomes.