Automated annotation and classification of BI-RADS assessment from radiology reports
Open Access
- 18 April 2017
- journal article
- research article
- Published by Elsevier BV in Journal of Biomedical Informatics
- Vol. 69, 177-187
- https://doi.org/10.1016/j.jbi.2017.04.011
Abstract
No abstract availableThis publication has 47 references indexed in Scilit:
- A study of machine-learning-based approaches to extract clinical entities and their assertions from discharge summariesJournal of the American Medical Informatics Association, 2011
- Using machine learning for concept extraction on clinical documents from multiple data sourcesJournal of the American Medical Informatics Association, 2011
- Extracting medication information from clinical textJournal of the American Medical Informatics Association, 2010
- High accuracy information extraction of medication information from clinical notes: 2009 i2b2 medication extraction challengeJournal of the American Medical Informatics Association, 2010
- Mayo clinical Text Analysis and Knowledge Extraction System (cTAKES): architecture, component evaluation and applicationsJournal of the American Medical Informatics Association, 2010
- The Joint Commission Practice Performance Evaluation: A Primer for RadiologistsJournal of the American College of Radiology, 2010
- The WEKA data mining softwareACM SIGKDD Explorations Newsletter, 2009
- Discerning Tumor Status from Unstructured MRI Reports—Completeness of Information in Existing Reports and Utility of Automated Natural Language ProcessingJournal of Digital Imaging, 2009
- Effect of Screening and Adjuvant Therapy on Mortality from Breast CancerThe New England Journal of Medicine, 2005
- Positive predictive value of the breast imaging reporting and data systemJournal of the American College of Surgeons, 1999