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
相关论文
共 50 条
  • [11] Fall Detection Using Deep Learning in Range-Doppler Radars
    Jokanovic, Branka
    Amin, Moeness
    IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 2018, 54 (01) : 180 - 189
  • [12] Deep Learning for Posture Analysis in Fall Detection
    Feng, Pengming
    Yu, Miao
    Naqvi, Syed Mohsen
    Chambers, Jonathon A.
    2014 19TH INTERNATIONAL CONFERENCE ON DIGITAL SIGNAL PROCESSING (DSP), 2014, : 12 - 17
  • [13] Deep Learning and Change Detection for Fall Recognition
    Tasoulis, Sotiris K.
    Mallis, Georgios I.
    Georgakopoulos, Spiros V.
    Vrahatis, Aristidis G.
    Plagianakos, Vassilis P.
    Maglogiannis, Ilias G.
    ENGINEERING APPLICATIONS OF NEURAL NETWORKSX, 2019, 1000 : 262 - 273
  • [14] Deep learning-based fall detection
    Chiang, Jason Wei Hoe
    Zhang, Li
    DEVELOPMENTS OF ARTIFICIAL INTELLIGENCE TECHNOLOGIES IN COMPUTATION AND ROBOTICS, 2020, 12 : 891 - 898
  • [15] A Study for Sign Language Detection Using Deep Learning Methods
    Tewari, Dhruv
    Mishra, Siddharth
    Kumar, Ashutosh
    Chaudhry, Rashmi
    PROCEEDINGS OF THIRD DOCTORAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE, DOSCI 2022, 2023, 479 : 493 - 501
  • [16] Deepsign: Sign Language Detection and Recognition Using Deep Learning
    Kothadiya, Deep
    Bhatt, Chintan
    Sapariya, Krenil
    Patel, Kevin
    Gil-Gonzalez, Ana-Belen
    Corchado, Juan M.
    ELECTRONICS, 2022, 11 (11)
  • [17] Deep Learning Using for Fall Detection on the Rehabilitation Walking-aid Robot
    Cao, Biao
    2019 11TH INTERNATIONAL CONFERENCE ON INTELLIGENT HUMAN-MACHINE SYSTEMS AND CYBERNETICS (IHMSC 2019), VOL 2, 2019, : 194 - 197
  • [18] SmartFall: A Smartwatch-Based Fall Detection System Using Deep Learning
    Mauldin, Taylor R.
    Canby, Marc E.
    Metsis, Vangelis
    Ngu, Anne H. H.
    Rivera, Coralys Cubero
    SENSORS, 2018, 18 (10)
  • [19] Applying deep learning technology for automatic fall detection using mobile sensors
    Wu, Xiaodan
    Zheng, Yumeng
    Chu, Chao-Hsien
    Cheng, Lingyu
    Kim, Jungyoon
    BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 2022, 72
  • [20] Security Vulnerability Detection Using Deep Learning Natural Language Processing
    Ziems, Noah
    Wu, Shaoen
    IEEE CONFERENCE ON COMPUTER COMMUNICATIONS WORKSHOPS (IEEE INFOCOM WKSHPS 2021), 2021,
12345