A convolutional route to abbreviation disambiguation in clinical text

Author:

Joopudi Venkata,Dandala Bharath,Devarakonda MurthyORCID

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference22 articles.

1. H. Xu, P.D. Stetson, C. Friedman, A study of abbreviations in clinical notes, in: AMIA Annu. Symp. Proc., 2007, pp. 821–5.

2. Word sense disambiguation of medical terms via recurrent convolutional neural networks;Festag;Stud. Health Technol. Infor.,2017

3. M. Stevenson, Y. Guo, A. Al Amri, R. Gaizauskas, Disambiguation of biomedical abbreviations, in: BioNLP Proc. Work. Curr. Trends Biomed. Nat. Lang. Process., 2009, pp. 71–79.

4. Combining corpus-derived sense profiles with estimated frequency information to disambiguate clinical abbreviations;Xu;AMIA Ann. Sympos. Proc.,2012

5. Towards comprehensive clinical abbreviation disambiguation using machine-labeled training data;Finley;AMIA Ann. Sympos. Proc.,2016

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