Does a machine learning risk prediction model using statewide EHRs accurately predict incident essential hypertension within 1 year?
A machine learning model utilizing statewide EHR data can prospectively predict the 1-year risk of incident essential hypertension to guide early intervention.
With statewide EHR datasets, our study prospectively validated an accurate 1-year risk prediction model for incident essential hypertension. Our real-time predictive analytic model has been deployed in the state of Maine, providing implications in interventions for hypertension and related diseases and hopefully enhancing hypertension care.
Ye et al. (Tue,) studied this question.