Do machine learning models improve predictive performance for hypertension risk compared to traditional regression analysis?
Machine learning methods do not show superior discrimination compared to traditional regression analysis for predicting hypertension risk, and most models lack external validation.
We attempted to provide a comprehensive evaluation of hypertension risk prediction models. Many models with acceptable-to-good predictive performance were identified. Only a few models were externally validated, and the risk of bias and applicability was a concern in many studies. Overall discrimination was similar between models derived from traditional regression analysis and machine learning methods. More external validation and impact studies to implement the hypertension risk prediction model in clinical practice are required.
Chowdhury et al. (Thu,) studied this question.