Effects of Language Differences on Inpatient Fall Detection Using Deep Learning

被引：1
|
作者：
Cho, Insook [1 ]
Lee, Eunju [1 ]
Lee, Dong-Geon [2 ]
机构：
[1] Inha Univ, Dept Nursing, Incheon, South Korea
[2] Inha Univ, Dept Informat & Commun Engn, Incheon, South Korea
来源：
MEDINFO 2023 - THE FUTURE IS ACCESSIBLE | 2024年 / 310卷
关键词：
Inpatient falls; nursing notes; text data; deep learning; event detection;
D O I：
10.3233/SHTI231329
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：1584 / 1585
页数：2
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