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

Falls Prevention in the Elderly (209) Tools, Programs and Algorithms (595) Natural Language Processing (1311) Machine Learning (3263) Falls and Emergency Detection with Sensors and other Technologies (82) Artificial Intelligence (4885)

Published on in Vol 8 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/65195, first published .
Doctor typing on laptop displaying medical history form

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
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Journals

  1. Fujita K, Matheson M, Valecha B, Hilmer S. Development and Validation of a Two-Stage NLP System Combining Rule-Based Extraction and LLM-Based Classification for Deprescribing Recommendations in Discharge Summaries. Drug Safety 2026 View