Developing an Actionable Taxonomy of Persistent Hypertension Using Electronic Health Records.

Daisy S MasseyCindy Xinxin DuHazar KhidirCesar Caraballo Shiwani Mahajan Erica S Spatz Leslie A Curry Harlan M Krumholz

Published in: Circulation. Cardiovascular quality and outcomes (2023)

This study presents a novel actionable taxonomy for classifying patients with persistent hypertension by their contributing causes based on electronic health record data. These categories can be automated and linked to specific types of actions to address them.

Keyphrases

electronic health record
blood pressure
clinical decision support
adverse drug
machine learning
deep learning
high throughput
arterial hypertension