Search Results for author: Walter F. Stewart

Found 8 papers, 6 papers with code

MiME: Multilevel Medical Embedding of Electronic Health Records for Predictive Healthcare

1 code implementation NeurIPS 2018 Edward Choi, Cao Xiao, Walter F. Stewart, Jimeng Sun

Deep learning models exhibit state-of-the-art performance for many predictive healthcare tasks using electronic health records (EHR) data, but these models typically require training data volume that exceeds the capacity of most healthcare systems.

Disease Prediction

Generating Multi-label Discrete Patient Records using Generative Adversarial Networks

3 code implementations19 Mar 2017 Edward Choi, Siddharth Biswal, Bradley Malin, Jon Duke, Walter F. Stewart, Jimeng Sun

Access to electronic health record (EHR) data has motivated computational advances in medical research.

Causal Regularization

no code implementations8 Feb 2017 Mohammad Taha Bahadori, Krzysztof Chalupka, Edward Choi, Robert Chen, Walter F. Stewart, Jimeng Sun

In application domains such as healthcare, we want accurate predictive models that are also causally interpretable.

Representation Learning

GRAM: Graph-based Attention Model for Healthcare Representation Learning

1 code implementation21 Nov 2016 Edward Choi, Mohammad Taha Bahadori, Le Song, Walter F. Stewart, Jimeng Sun

-Interpretation:The representations learned by deep learning methods should align with medical knowledge.

Representation Learning

RETAIN: An Interpretable Predictive Model for Healthcare using Reverse Time Attention Mechanism

1 code implementation NeurIPS 2016 Edward Choi, Mohammad Taha Bahadori, Joshua A. Kulas, Andy Schuetz, Walter F. Stewart, Jimeng Sun

RETAIN was tested on a large health system EHR dataset with 14 million visits completed by 263K patients over an 8 year period and demonstrated predictive accuracy and computational scalability comparable to state-of-the-art methods such as RNN, and ease of interpretability comparable to traditional models.

Disease Trajectory Forecasting

Medical Concept Representation Learning from Electronic Health Records and its Application on Heart Failure Prediction

1 code implementation11 Feb 2016 Edward Choi, Andy Schuetz, Walter F. Stewart, Jimeng Sun

Objective: To transform heterogeneous clinical data from electronic health records into clinically meaningful constructed features using data driven method that rely, in part, on temporal relations among data.

Representation Learning

Doctor AI: Predicting Clinical Events via Recurrent Neural Networks

1 code implementation18 Nov 2015 Edward Choi, Mohammad Taha Bahadori, Andy Schuetz, Walter F. Stewart, Jimeng Sun

Leveraging large historical data in electronic health record (EHR), we developed Doctor AI, a generic predictive model that covers observed medical conditions and medication uses.

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