Implementation of Machine Learning and Hemodynamic Profiles Based Clinical Decision Support Systems for Personalized Guideline Accordant Antihypertensive Regimens in Primary Care: a Pragmatic Cluster Randomized Controlled Trial
9. Serious medical conditions (e.g., malignant cancer and hepatic dysfunction)
10. Currently in an acute episode of disease (e.g, new-onset cardiovascular and cerebrovascular disease occurred within 3 months).
11. Cognitive or communicative disorders.
12. Currently pregnant or breastfeeding or planning a pregnant or breastfeeding during the study.
13. Reluctant to take antihypertensive medications or have poor compliance with previous treatment.
14. Participating in other clinical trials.
Clareo Health | Implementation of Machine Learning and Hemodynamic Profiles Based Clinical Decision Support Systems for Personalized Guideline Accordant Antihypertensive Regimens in Primary Care: a Pragmatic Cluster Randomized Controlled Trial
