Supporting the use of standardized nursing terminologies with automatic subject heading prediction: a comparison of sentence-level text classification methods

Abstract Objective This study focuses on the task of automatically assigning standardized (topical) subject headings to free-text sentences in clinical nursing notes. The underlying motivation is to support nurses when they document patient care by developing a computer system that can assist in inc...

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Vydané v:	Journal of the American Medical Informatics Association : JAMIA Ročník 27; číslo 1; s. 81 - 88
Hlavní autori:	Moen, Hans, Hakala, Kai, Peltonen, Laura-Maria, Suhonen, Henry, Ginter, Filip, Salakoski, Tapio, Salanterä, Sanna
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	England Oxford University Press 01.01.2020
Predmet:	Abstracting and Indexing - methods Electronic Health Records Finland Natural Language Processing Nursing Records Standardized Nursing Terminology Subject Headings Finland electronic health records text classification natural language processing nursing documentation clinical decision support
ISSN:	1527-974X, 1527-974X
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