Does a machine-learning-based high-benefit approach improve treatment effectiveness compared to a conventional high-risk approach in blood pressure management?
A machine-learning-based high-benefit approach to blood pressure management may yield larger treatment effects than conventional high-risk approaches.
The machine-learning-based high-benefit approach outperformed the high-risk approach with a larger treatment effect. These findings indicate that the high-benefit approach has the potential to maximize the effectiveness of treatment rather than the conventional high-risk approach, which needs to be validated in future research.
Inoue et al. (Tue,) studied this question.