Classifying tumor event attributes in radiology reports-Reference-Cited by-同舟云学术

Classifying tumor event attributes in radiology reports

Published:2017-09-14 Issue:11 Volume:68 Page:2662-2674
ISSN:2330-1635
Container-title:Journal of the Association for Information Science and Technology
language:en
Short-container-title:Journal of the Association for Information Science and Technology

Author:

Yim Wen-wai¹,Kwan Sharon W.²,Yetisgen Meliha³

Affiliation:

1. Palo Alto Veterans Affairs, Biomedical Informatics Research, Stanford University, 1265 Welch Road; Stanford CA 94305

2. Department of Radiology; Interventional Radiology Section, University of Washington Medical Center, 1959 NE Pacific Street; Seattle WA 98195 USA

3. Biomedical and Health Informatics, Linguistics; University of Washington, Box 358047; Seattle WA 98195 USA

Funder

National Institutes of Health

National Center for Advancing Translational Sciences

UW Institute of Translational Health Sciences

Publisher

Wiley

Subject

Library and Information Sciences,Information Systems and Management,Computer Networks and Communications,Information Systems

Reference27 articles.

1. An overview of MetaMap: Historical perspective and recent advances;Aronson;Journal of the American Medical Informatics Association: JAMIA,2010

2. Assertion modeling and its role in clinical phenotype identification;Bejan;Journal of Biomedical Informatics,2013

3. The Unified Medical Language System (UMLS): Integrating biomedical terminology;Bodenreider;Nucleic Acids Research,2004

4. Chang , A.X. Manning , C. 2012 SUTime: A library for recognizing and normalizing time expressions Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC-2012) http://aclanthology.info/papers/sutime-a-library-for-recognizing-and-normalizing-time-expressions

5. A simple algorithm for identifying negated findings and diseases in discharge summaries;Chapman;Journal of Biomedical Informatics,2001

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