Effects of Language Differences on Inpatient Fall Detection Using Deep Learning.

Journal: Studies in health technology and informatics

PMID: 38426881

Abstract

This study examined the effects of language differences between Korean and English on the performance of natural language processing in the classification task of identifying inpatient falls from unstructured nursing notes.

Authors

Insook Cho

Department of Nursing, Inha University, Incheon, South Korea. Electronic address: insook.cho@inha.ac.kr.
Eunju Lee

Department of Radiology, Veterans Health Service Medical Center, Seoul, Korea.
Dong-Geon Lee

Department of Information and Communication Engineering, Inha University, Incheon, Republic of Korea.

Keywords

Accidental Falls Deep Learning Electronic Health Records Humans Inpatients Language Natural Language Processing

External Resources

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Effects of Language Differences on Inpatient Fall Detection Using Deep Learning.

Abstract

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