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
  • [31] Video-based Human Fall Detection in Smart Homes Using Deep Learning
    Shojaei-Hashemi, Anahita
    Nasiopoulos, Panos
    Little, James J.
    Pourazad, Mahsa T.
    2018 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS), 2018,
  • [32] Detection of Turkish Sign Language Using Deep Learning and Image Processing Methods
    Aksoy, Bekir
    Salman, Osamah Khaled Musleh
    Ekrem, Ozge
    APPLIED ARTIFICIAL INTELLIGENCE, 2021, 35 (12) : 952 - 981
  • [33] Arabic Sign Language Detection Using Deep Learning Based Pose Estimation
    Ismail, Mohammad H.
    Dawwd, Shefa A.
    Ali, Fakhrulddin H.
    PROCEEDING OF 2021 2ND INFORMATION TECHNOLOGY TO ENHANCE E-LEARNING AND OTHER APPLICATION (IT-ELA 2021), 2021, : 161 - 166
  • [34] A Deep Learning Dual-Stream Framework for Fall Detection
    Mobsite, Sara
    Alaoui, Nabih
    Boulmalf, Mohammed
    Ghogho, Mounir
    2023 INTERNATIONAL WIRELESS COMMUNICATIONS AND MOBILE COMPUTING, IWCMC, 2023, : 1226 - 1231
  • [35] A Novel Embedded Deep Learning Wearable Sensor for Fall Detection
    Campanella, Sara
    Alnasef, Alaa
    Falaschetti, Laura
    Belli, Alberto
    Pierleoni, Paola
    Palma, Lorenzo
    IEEE SENSORS JOURNAL, 2024, 24 (09) : 15219 - 15229
  • [36] Adaptive Deep Learning for a Vision-based Fall Detection
    Doulamis, Anastasios
    Doulamis, Nikolaos
    11TH ACM INTERNATIONAL CONFERENCE ON PERVASIVE TECHNOLOGIES RELATED TO ASSISTIVE ENVIRONMENTS (PETRA 2018), 2018, : 558 - 565
  • [37] Deep Learning Based Systems Developed for Fall Detection: A Review
    Islam, Md. Milon
    Tayan, Omar
    Islam, Md. Repon
    Islam, Md. Saiful
    Nooruddin, Sheikh
    Nomani Kabir, Muhammad
    Islam, Md. Rabiul
    IEEE ACCESS, 2020, 8 : 166117 - 166137
  • [38] Fall Detection Using LSTM and Transfer Learning
    Ayesha Butt
    Sanam Narejo
    Muhammad Rizwan Anjum
    Muhammad Usman Yonus
    Mashal Memon
    Arbab Ali Samejo
    Wireless Personal Communications, 2022, 126 : 1733 - 1750
  • [39] Fall Detection Using Machine Learning Algorithms
    Vallabh, Pranesh
    Malekian, Reza
    Ye, Ning
    Bogatinoska, Dijana Capeska
    2016 24TH INTERNATIONAL CONFERENCE ON SOFTWARE, TELECOMMUNICATIONS AND COMPUTER NETWORKS (SOFTCOM), 2016, : 51 - 59
  • [40] Fall Detection Using LSTM and Transfer Learning
    Butt, Ayesha
    Narejo, Sanam
    Anjum, Muhammad Rizwan
    Yonus, Muhammad Usman
    Memon, Mashal
    Samejo, Arbab Ali
    WIRELESS PERSONAL COMMUNICATIONS, 2022, 126 (02) : 1733 - 1750
12345