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Normalizing acronyms and abbreviations to aid patient understanding of clinical texts: ShARe/CLEF eHealth Challenge 2013, Task 2.

, , , , , , , , , , , , and . J. Biomed. Semant., (2016)

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STREAMLINE: An Automated Machine Learning Pipeline for Biomedicine Applied to Examine the Utility of Photography-Based Phenotypes for OSA Prediction Across International Sleep Centers., , , , , , , , , and 12 other author(s). CoRR, (2023)Relation Detection to Identify Stroke Assertions from Clinical Notes Using Natural Language Processing., , , , , , and . MedInfo, volume 310 of Studies in Health Technology and Informatics, page 619-623. IOS Press, (2023)Towards Developing an Annotation Scheme for Depressive Disorder Symptoms: A Preliminary Study using Twitter Data., , and . CLPsych@HLT-NAACL, page 89-98. The Association for Computational Linguistics, (2015)Generating Patient Problem Lists from the ShARe Corpus using SNOMED CT/SNOMED CT CORE Problem List., , , , , and . BioNLP@ACL, page 54-58. Association for Computational Linguistics, (2014)Detecting Current Episodes of Cholecystitis-related Pain from Veterans Affairs Clinical Notes using Natural Language Processing., , , , , , , and . AMIA, AMIA, (2018)Towards a Generalizable Time Expression Model for Temporal Reasoning in Clinical Notes., , , , and . AMIA, AMIA, (2015)Overview of the ShARe/CLEF eHealth Evaluation Lab 2014, , , , , , , , , and 1 other author(s). Proc. CLEF 2014, 8685, page 173-192. Springer LNCS, (2014)Knowledge Author: facilitating user-driven, domain content development to support clinical information extraction., , , , , , and . J. Biomed. Semant., (2016)Moonstone: a novel natural language processing system for inferring social risk from clinical narratives., , , , , , , , and . J. Biomed. Semant., 10 (1): 6:1-6:10 (2019)Informative missingness: What can we learn from patterns in missing laboratory data in the electronic health record?, , , , , , , , , and 29 other author(s). J. Biomed. Informatics, (March 2023)