This paper is in the following e-collection/theme issue:

Falls Prevention in the Elderly (101) Falls and Emergency Detection with Sensors and other Technologies (57) Machine Learning (2077) Natural Language Processing (917) Tools, Programs and Algorithms (376) Artificial Intelligence (2132)

Published on in Vol 8 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/65195, first published .
Development and Validation of a Rule-Based Natural Language Processing Algorithm to Identify Falls in Inpatient Records of Older Adults: Retrospective Analysis

Development and Validation of a Rule-Based Natural Language Processing Algorithm to Identify Falls in Inpatient Records of Older Adults: Retrospective Analysis

Development and Validation of a Rule-Based Natural Language Processing Algorithm to Identify Falls in Inpatient Records of Older Adults: Retrospective Analysis

Authors of this article:

Xing Xing Qian1 Author Orcid Image ;   Pui Hing Chau1 Author Orcid Image ;   Daniel Y T Fong1 Author Orcid Image ;   Mandy Ho1 Author Orcid Image ;   Jean Woo2 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Xing Xing Qian   1 , PhD ;   Pui Hing Chau   1 , PhD ;   Daniel Y T Fong   1 , PhD ;   Mandy Ho   1 , PhD ;   Jean Woo   2 , MD

1 School of Nursing, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China (Hong Kong)

2 Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China (Hong Kong)

Corresponding Author:

  • Pui Hing Chau, PhD
  • School of Nursing, Li Ka Shing Faculty of Medicine, The University of Hong Kong
  • 5/F, Academic Building, 3 Sassoon Road, Pokfulam
  • Hong Kong
  • China (Hong Kong)
  • Phone: 852 3917 6626
  • Email: phchau@graduate.hku.hk