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

An Analysis of Attention over Clinical Notes for Predictive Tasks

no code implementations • WS 2019 • Sarthak Jain, Ramin Mohammadi, Byron C. Wallace

In this work we perform experiments to explore this question using two EMR corpora and four different predictive tasks, that: (i) inclusion of attention mechanisms is critical for neural encoder modules that operate over notes fields in order to yield competitive performance, but, (ii) unfortunately, while these boost predictive performance, it is decidedly less clear whether they provide meaningful support for predictions.