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Improving Recurrent Neural Network Responsiveness to Acute Clinical Events

Jul 28, 2020
David Ledbetter, Eugene Laksana, Melissa Aczon, Randall Wetzel

* 7 pages, 5 figures, 4 figures, 2 pages of Appendix 

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Interpreting a Recurrent Neural Network Model for ICU Mortality Using Learned Binary Masks

Jun 06, 2019
Long V. Ho, Melissa D. Aczon, David Ledbetter, Randall Wetzel


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The Impact of Extraneous Variables on the Performance of Recurrent Neural Network Models in Clinical Tasks

Apr 01, 2019
Eugene Laksana, Melissa Aczon, Long Ho, Cameron Carlin, David Ledbetter, Randall Wetzel

* 9 pages (2 in appendix), 2 figures, 5 tables (2 in appendix) 

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Predicting Individual Responses to Vasoactive Medications in Children with Septic Shock

Jan 15, 2019
Nicole Fronda, Jessica Asencio, Cameron Carlin, David Ledbetter, Melissa Aczon, Randall Wetzel, Barry Markovitz


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Predicting Individual Physiologically Acceptable States for Discharge from a Pediatric Intensive Care Unit

Dec 18, 2017
Cameron Carlin, Long Van Ho, David Ledbetter, Melissa Aczon, Randall Wetzel

* 8 pages with appendix, 6 figures (4 of which comprise 1 meta figure), 4 tables in main section, 10 tables including appendix 

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The Dependence of Machine Learning on Electronic Medical Record Quality

Mar 23, 2017
Long Ho, David Ledbetter, Melissa Aczon, Randall Wetzel

* 9 pages, 5 figures, 3 tables 

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Learning to Diagnose with LSTM Recurrent Neural Networks

Mar 21, 2017
Zachary C. Lipton, David C. Kale, Charles Elkan, Randall Wetzel


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Modeling Missing Data in Clinical Time Series with RNNs

Nov 11, 2016
Zachary C. Lipton, David C. Kale, Randall Wetzel


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