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Towards Comprehensive Clinical Abbreviation Disambiguation Using Machine-Labeled Training Data

Abbreviation disambiguation in clinical texts is a problem handled well by fully supervised machine learning methods. Acquiring training data, however, is expensive and would be impractical for large numbers of abbreviations in specialized corpora. An alternative is a semi-supervised approach, in wh...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:AMIA Annu Symp Proc
Hauptverfasser: Finley, Gregory P., Pakhomov, Serguei V.S., McEwan, Reed, Melton, Genevieve B.
Format: Artigo
Sprache:Inglês
Veröffentlicht: American Medical Informatics Association 2017
Schlagworte:
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC5333249/
https://ncbi.nlm.nih.gov/pubmed/28269852
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