2182
OBJECTIVES/SPECIFIC AIMS: An accurate method to identify bleeding in large populations does not exist. Our goal was to explore bleeding representation in clinical text in order to develop a natural language processing (NLP) approach to automatically identify bleeding events from clinical notes. METH...
Main Authors: | Rashmee Shah, Benjamin Steinberg, Brian Bucher, Alec Chapman, Donald Lloyd-Jones, Matthew Rondina, Wendy Chapman |
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Format: | Article |
Language: | English |
Published: |
Cambridge University Press
2017-09-01
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Series: | Journal of Clinical and Translational Science |
Online Access: | https://www.cambridge.org/core/product/identifier/S2059866117000607/type/journal_article |
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