Learning to Identify Patients at Risk of Uncontrolled Hypertension Using Electronic Health Records Data

no code implementations • 28 Jun 2019 • Ramin Mohammadi, Sarthak Jain, Stephen Agboola, Ramya Palacholla, Sagar Kamarthi, Byron C. Wallace

We develop machine learning models (logistic regression and recurrent neural networks) to stratify patients with respect to the risk of exhibiting uncontrolled hypertension within the coming three-month period.

Management regression