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Effective Representations of Clinical Notes


Aug 16, 2018
Sebastien Dubois, Nathanael Romano, David C. Kale, Nigam Shah, Kenneth Jung


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Multitask Learning and Benchmarking with Clinical Time Series Data


Mar 22, 2017
Hrayr Harutyunyan, Hrant Khachatrian, David C. Kale, Aram Galstyan

* Proposes clinical prediction benchmark tasks; details can be found at https://github.com/turambar/mimic3-benchmarks. Manuscript revisions will be uploaded regularly to reflect updates to the benchmark data set, new results, and new findings. An earlier version of this manuscript is currently under review for SIGKDD 2017 

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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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Phenotyping of Clinical Time Series with LSTM Recurrent Neural Networks


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


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Intra-day Activity Better Predicts Chronic Conditions


Dec 04, 2016
Tom Quisel, David C. Kale, Luca Foschini

* Presented at the NIPS 2016 Workshop on Machine Learning for Health 

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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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Toward Interpretable Topic Discovery via Anchored Correlation Explanation


Jun 22, 2016
Kyle Reing, David C. Kale, Greg Ver Steeg, Aram Galstyan

* presented at 2016 ICML Workshop on #Data4Good: Machine Learning in Social Good Applications, New York, NY 

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