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

页码：1584 / 1585

页数：2

共 50 条

[21] Fake news detection in Slovak language using deep learning techniques
Ivancova, Klaudia
Sarnovsky, Martin
Maslej-Kresnakova, Viera
2021 IEEE 19TH WORLD SYMPOSIUM ON APPLIED MACHINE INTELLIGENCE AND INFORMATICS (SAMI 2021), 2021, : 255 - 259
[22] Offensive Language Detection of Arabic Tweets Using Deep Learning Algorithm
AlSukhni, Emad
AlAzzam, Iyad
Hanandeh, Sereen
2024 15TH INTERNATIONAL CONFERENCE ON INFORMATION AND COMMUNICATION SYSTEMS, ICICS 2024, 2024,
[23] Fake News Detection Using Deep Learning and Natural Language Processing
Matheven, Anand
Venkata, Burra
Kumar, Durga
2022 9TH INTERNATIONAL CONFERENCE ON SOFT COMPUTING & MACHINE INTELLIGENCE, ISCMI, 2022, : 11 - 14
[24] A Deep Learning Based Human Fall Detection Solution
Hamid, Reza Tohidypour
Anahita, Shojaei-Hashemi
Panos, Nasiopoulos
Mahsa, T. Pourazad
PROCEEDINGS OF THE 15TH INTERNATIONAL CONFERENCE ON PERVASIVE TECHNOLOGIES RELATED TO ASSISTIVE ENVIRONMENTS, PETRA 2022, 2022, : 89 - 92
[25] Deep Learning Radar Design for Breathing and Fall Detection
Bhattacharya, Abhijit
Vaughan, Rodney
IEEE SENSORS JOURNAL, 2020, 20 (09) : 5072 - 5085
[26] Visual Guided Deep Learning Scheme for Fall Detection
Lu, Na
Ren, Xiaodong
Song, Jinbo
Wu, Yidan
2017 13TH IEEE CONFERENCE ON AUTOMATION SCIENCE AND ENGINEERING (CASE), 2017, : 801 - 806
[27] A Class-Imbalanced Deep Learning Fall Detection Algorithm Using Wearable Sensors
Zhang, Jing
Li, Jia
Wang, Weibing
SENSORS, 2021, 21 (19)
[28] Low PRF Low Frequency Radar Sensor for Fall Detection by Using Deep Learning
Chen, Sixian
Fan, Chongyi
Huang, Xiaotao
Cao, Chun
2019 IEEE 4TH INTERNATIONAL CONFERENCE ON SIGNAL AND IMAGE PROCESSING (ICSIP 2019), 2019, : 400 - 404
[29] Vision-based human fall detection systems using deep learning: A review
Alam, Ekram
Sufian, Abu
Dutta, Paramartha
Leo, Marco
COMPUTERS IN BIOLOGY AND MEDICINE, 2022, 146
[30] Deep Learning-Based Fall Detection Using WiFi Channel State Information
Chu, Yi
Cumanan, Kanapathippillai
Sankarpandi, Sathish K.
Smith, Stephen
Dobre, Octavia A.
IEEE ACCESS, 2023, 11 : 83763 - 83780

← 1 2 3 4 5 →