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COVID-19 SignSym: a fast adaptation of a general clinical NLP tool to identify and normalize COVID-19 signs and symptoms to OMOP common data model
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In: J Am Med Inform Assoc (2021)
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COVID-19 SignSym: a fast adaptation of a general clinical NLP tool to identify and normalize COVID-19 signs and symptoms to OMOP common data model ...
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Deep learning in clinical natural language processing: a methodical review
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In: J Am Med Inform Assoc (2019)
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Extracting entities with attributes in clinical text via joint deep learning
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In: J Am Med Inform Assoc (2019)
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A fine-grained Chinese word segmentation and part-of-speech tagging corpus for clinical text
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Named Entity Recognition in Chinese Clinical Text Using Deep Neural Network
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A Study of Neural Word Embeddings for Named Entity Recognition in Clinical Text
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The CHEMDNER corpus of chemicals and drugs and its annotation principles
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Identifying risk factors for heart disease over time: Overview of 2014 i2b2/UTHealth shared task Track 2
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Evaluating Word Representation Features in Biomedical Named Entity Recognition Tasks
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A comparative study of current clinical natural language processing systems on handling abbreviations in discharge summaries
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Extracting Semantic Lexicons from Discharge Summaries using Machine Learning and the C-Value Method
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Applying Semantic-based Probabilistic Context-Free Grammar to Medical Language Processing – A Preliminary Study on Parsing Medication Sentences
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Hierarchical illustration of the eight semantic classes (with some of the constituent SN types and CUIs omitted for conciseness) ...
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Hierarchical illustration of the eight semantic classes (with some of the constituent SN types and CUIs omitted for conciseness) ...
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19 |
Detecting Abbreviations in Discharge Summaries using Machine Learning Methods
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Teaching Situation and Strategy of Phonetics in Universities’ Ancient Chinese Courses
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In: Cross-Cultural Communication; Vol 7, No 4 (2011): Cross-Cultural Communication; 101-103 ; 1923-6700 ; 1712-8358 (2011)
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