Challenges and Practical Approaches with Word Sense Disambiguation of Acronyms and Abbreviations in the Clinical Domain
Sungrim Moon, Bridget McInnes, Genevieve B. Melton
Healthc Inform Res. 2015;21(1):35-42.   Published online 2015 Jan 31     DOI: https://doi.org/10.4258/hir.2015.21.1.35
Citations to this article as recorded by Crossref logo
Augmented intelligence with natural language processing applied to electronic health records for identifying patients with non-alcoholic fatty liver disease at risk for disease progression
Tielman T. Van Vleck, Lili Chan, Steven G. Coca, Catherine K. Craven, Ron Do, Stephen B. Ellis, Joseph L. Kannry, Ruth J.F. Loos, Peter A. Bonis, Judy Cho, Girish N. Nadkarni
International Journal of Medical Informatics.2019; 129: 334.     CrossRef
Automated extraction of Biomarker information from pathology reports
Jeongeun Lee, Hyun-Je Song, Eunsil Yoon, Seong-Bae Park, Sung-Hye Park, Jeong-Wook Seo, Peom Park, Jinwook Choi
BMC Medical Informatics and Decision Making.2018;[Epub]     CrossRef
A method for harmonization of clinical abbreviation and acronym sense inventories
Lisa V. Grossman, Elliot G. Mitchell, George Hripcsak, Chunhua Weng, David K. Vawdrey
Journal of Biomedical Informatics.2018; 88: 62.     CrossRef
Acrimonious acronymania
Tsung O. Cheng
International Journal of Cardiology.2015; 201: 663.     CrossRef