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Early detection of preventable diseases is important for better disease management, improved inter-ventions, and more efficient health-care resource allocation.
Long short-term memory
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Earlier work this paper cites.
A simple algorithm for identifying negated findings and diseases in discharge summaries
Wendy W Chapman, Will Bridewell, Paul Hanbury, Gregory F Cooper, and Bruce G Buchanan · 2001
Earlier work this paper cites.
Scikit-learn: Machine learning in Python
F. Pedregosa, G. Varoquaux, A. Gramfort, V. Michel, B. Thirion, O. Grisel, M. Blondel, P. Prettenhofer, R. Weiss, V. Dubourg, J. Vanderplas, A. Passos, D. Cournapeau, M. Brucher, M. Perrot, and E. Duchesnay · 2011
Earlier work this paper cites.
Speech recognition with deep recurrent neural networks
Alex Graves, Abdel-rahman Mohamed, and Geoffrey Hinton · 2013
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Early detection of diabetes from health claims
RahulG Krishnan, Narges Razavian, Youngduck Choi, Somesh Nigam, Saul Blecker, A Schmidt, and David Sontag · 2013
Earlier work this paper cites.
Distributional semantics resources for biomedical text processing
Moen Salakoski Pyysalo, Ginter and Ananiadou · 2013
Earlier work this paper cites.
Convolutional neural networks for sentence classification
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Earlier work this paper cites.
Learning to diagnose with lstm recurrent neural networks
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Learning to diagnose with lstm recurrent neural networks
Zachary Lipton · 2016
Gram: Graph-based attention model for healthcare representation learning
Edward Choi, Mohammad Taha Bahadori, Le Song, Walter F Stewart, and Jimeng Sun · 2017
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Ccw chronic conditions, 2017
CMS · 2017
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Shortfuse: Biomedical time series representations in the presence of structured information
Madalina Fiterau, Suvrat Bhooshan, Jason Fries, Charles Bournhonesque, Jennifer Hicks, Eni Halilaj, Christopher Ré, and Scott Delp · 2017
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Clinical classification software for icd-10, 2017
HCUP · 2017
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Cdisc terminology, 2017
NCI · 2017
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Clinical intervention prediction and understanding using deep networks
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Multi-task prediction of disease onsets from longitudinal laboratory tests
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Multi-label classification of patient notes a case study on icd code assignment
Tal Baumel, Jumana Nassour-Kassis, Michael Elhadad, and Noemie Elhadad · 2017
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Preterm birth prediction: Deriving stable and interpretable rules from high dimensional data
Truyen Tran, Wei Luo, Dinh Phung, Jonathan Morris, Kristen Rickard, and Svetha Venkatesh
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Harini Suresh, Nathan Hunt, Alistair Edward William Johnson, Leo Anthony Celi, Peter Szolovits, and Marzyeh Ghassemi · 2017
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Starspace: Embed all the things!
Ledell Wu, Adam Fisch, Sumit Chopra, Keith Adams, Antoine Bordes, and Jason Weston · 2017
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