March 1, 2024Open Access

Effects of Language Differences on Inpatient Fall Detection Using Deep Learning

ICInsook ChoBrigham and Women's Hospital ELEun Ju LeeInha University DLD. LeePohang University of Science and Technology

Key Points

Key points are not available for this paper at this time.

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.

Demander à l'IA

Bookmark

View Full Paper

Cite This Study

Cho et al. (Fri,) studied this question.

synapsesocial.com/papers/68e765e9b6db6435876daf36 https://doi.org/https://doi.org/10.3233/shti231329

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1Dissecting Contextual Word Embeddings: Architecture and Representation2018 · 437 citations
2Publicly Available Clinical BERT Embeddings2019 · 730 citations
3AI-Assisted Pipeline for Dynamic Generation of Trustworthy Health Supplement Content at Scale2018 · 45,810 citations
4How Multilingual is Multilingual BERT?2019 · 1,172 citations
5Transfer Learning in Biomedical Natural Language Processing: An Evaluation of BERT and ELMo on Ten Benchmarking Datasets2019 · 858 citations

Demander à l'IA

Bookmark

View Full Paper