Active deep learning to detect demographic traits in free-form clinical notes
- 16 May 2020
- journal article
- research article
- Published by Elsevier BV in Journal of Biomedical Informatics
- Vol. 107, 103436
- https://doi.org/10.1016/j.jbi.2020.103436
Abstract
No abstract availableThis publication has 26 references indexed in Scilit:
- HIPAA Privacy RulePublished by Taylor & Francis Ltd ,2014
- Text de-identification for privacy protection: A study of its impact on clinical text information contentJournal of Biomedical Informatics, 2014
- Glove: Global Vectors for Word RepresentationPublished by Association for Computational Linguistics (ACL) ,2014
- Convolutional Neural Networks for Sentence ClassificationPublished by Association for Computational Linguistics (ACL) ,2014
- Active Learning for Dialogue Act LabellingLecture Notes in Computer Science, 2011
- A de-identifier for medical discharge summariesArtificial Intelligence in Medicine, 2008
- Evaluating the State-of-the-Art in Automatic De-identificationJournal of the American Medical Informatics Association, 2007
- A Multilingual Named Entity Recognition System Using Boosting and C4.5 Decision Tree Learning AlgorithmsLecture Notes in Computer Science, 2006
- Evaluation of a Deidentification (De-Id) Software Engine to Share Pathology Reports and Clinical Documents for ResearchAmerican Journal of Clinical Pathology, 2004
- Long Short-Term MemoryNeural Computation, 1997