Work

Automatic word sense disambiguation of acronyms and abbreviations in clinical texts

Year: 2012

Type: dissertation

Abstract: University of Minnesota Ph.D. dissertation. December 2012. Major: Health Informatics. Advisor: Serguei V.S. Pakhomov, PhD. 1 computer file (PDF); vii, 89 pages, appendices p. 89.

Source: University of Minnesota Digital Conservancy (University of Minnesota)

Author: Sungrim Moon

Language: English

Topic: Biomedical Text Mining and Ontologies

Subfield: Health Informatics

Field: Medicine

Domain: Health Sciences

Open Access status: green

Funders: American Surgical Association Foundation, University of Minnesota, U.S. National Library of Medicine

Award: Sematic Relatedness for Active Medication Safety and Outcomes Surveillance

OpenAlex ID: W1557289662

Cites: 45

Cited by: 3

Related to: 10