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Graph Convolutional Transformer: Learning the Graphical Structure of Electronic Health Records

Jun 28, 2019
Edward Choi, Zhen Xu, Yujia Li, Michael W. Dusenberry, Gerardo Flores, Yuan Xue, Andrew M. Dai


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Analyzing the Role of Model Uncertainty for Electronic Health Records

Jun 10, 2019
Michael W. Dusenberry, Dustin Tran, Edward Choi, Jonas Kemp, Jeremy Nixon, Ghassen Jerfel, Katherine Heller, Andrew M. Dai

* Presented at the ICML 2019 Workshop on Uncertainty & Robustness in Deep Learning. Code to be open-sourced 

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Clinical Concept Extraction for Document-Level Coding

Jun 08, 2019
Sarah Wiegreffe, Edward Choi, Sherry Yan, Jimeng Sun, Jacob Eisenstein

* ACL BioNLP workshop (2019) 

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RetainVis: Visual Analytics with Interpretable and Interactive Recurrent Neural Networks on Electronic Medical Records

Oct 23, 2018
Bum Chul Kwon, Min-Je Choi, Joanne Taery Kim, Edward Choi, Young Bin Kim, Soonwook Kwon, Jimeng Sun, Jaegul Choo

* Accepted at IEEE VIS 2018. To appear in IEEE Transactions on Visualization and Computer Graphics in January 2019 

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

Oct 22, 2018
Edward Choi, Cao Xiao, Walter F. Stewart, Jimeng Sun

* Accepted at NIPS 2018 

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MorphNet: Fast & Simple Resource-Constrained Structure Learning of Deep Networks

Apr 17, 2018
Ariel Gordon, Elad Eban, Ofir Nachum, Bo Chen, Hao Wu, Tien-Ju Yang, Edward Choi

* Added reproducibility and stability figures in the appendix, as well minor typos and clarifications to the main text 

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Compositional Obverter Communication Learning From Raw Visual Input

Apr 06, 2018
Edward Choi, Angeliki Lazaridou, Nando de Freitas

* Published as a conference paper at ICLR 2018 

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Generating Multi-label Discrete Patient Records using Generative Adversarial Networks

Jan 11, 2018
Edward Choi, Siddharth Biswal, Bradley Malin, Jon Duke, Walter F. Stewart, Jimeng Sun

* Accepted at Machine Learning in Health Care (MLHC) 2017 

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

Jun 20, 2017
Edward Choi, Andy Schuetz, Walter F. Stewart, Jimeng Sun

* 45 pages 

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GRAM: Graph-based Attention Model for Healthcare Representation Learning

Apr 01, 2017
Edward Choi, Mohammad Taha Bahadori, Le Song, Walter F. Stewart, Jimeng Sun


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

Feb 26, 2017
Edward Choi, Mohammad Taha Bahadori, Joshua A. Kulas, Andy Schuetz, Walter F. Stewart, Jimeng Sun

* Accepted at Neural Information Processing Systems (NIPS) 2016 

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Causal Regularization

Feb 23, 2017
Mohammad Taha Bahadori, Krzysztof Chalupka, Edward Choi, Robert Chen, Walter F. Stewart, Jimeng Sun

* Adding theoretical analysis, revising the text 

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Doctor AI: Predicting Clinical Events via Recurrent Neural Networks

Sep 28, 2016
Edward Choi, Mohammad Taha Bahadori, Andy Schuetz, Walter F. Stewart, Jimeng Sun

* Presented at 2016 Machine Learning and Healthcare Conference (MLHC 2016), Los Angeles, CA 

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Multi-layer Representation Learning for Medical Concepts

Feb 17, 2016
Edward Choi, Mohammad Taha Bahadori, Elizabeth Searles, Catherine Coffey, Jimeng Sun


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