French FastContext: A publicly accessible system for detecting negation, temporality and experiencer in French clinical notes
- 1 May 2021
- journal article
- research article
- Published by Elsevier BV in Journal of Biomedical Informatics
- Vol. 117, 103733
- https://doi.org/10.1016/j.jbi.2021.103733
Abstract
No abstract availableFunding Information
- EU Framework Programme for Research and Innovation Marie Sklodowska-Curie Actions
- French National Research Agency
This publication has 36 references indexed in Scilit:
- NCBO Technology: Powering semantically aware applicationsJournal of Biomedical Semantics, 2013
- Document-level classification of CT pulmonary angiography reports based on an extension of the ConText algorithmJournal of Biomedical Informatics, 2011
- Impact of Electronic Health Record Clinical Decision Support on Diabetes Care: A Randomized TrialAnnals of Family Medicine, 2011
- Negation detection in Swedish clinical text: An adaption of NegEx to SwedishJournal of Biomedical Semantics, 2011
- Limiting ventilator-induced lung injury through individual electronic medical record surveillance*Critical Care Medicine, 2011
- BioPortal: ontologies and integrated data resources at the click of a mouseNucleic Acids Research, 2009
- ConText: An algorithm for determining negation, experiencer, and temporal status from clinical reportsJournal of Biomedical Informatics, 2009
- The BioScope corpus: biomedical texts annotated for uncertainty, negation and their scopesBMC Bioinformatics, 2008
- A Novel Hybrid Approach to Automated Negation Detection in Clinical Radiology ReportsJournal of the American Medical Informatics Association, 2007
- Measuring nominal scale agreement among many raters.Psychological Bulletin, 1971