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

Natural Language Processing (706) Machine Learning (1501) Decision Support for Health Professionals (1210) Electronic Health Records (1068) Generative Language Models Including ChatGPT (325) Falls and Emergency Detection with Sensors and other Technologies (37) Clinical Information and Decision Making (1434) Artificial Intelligence (1421)

Published on in Vol 12 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/48995, first published .
BERT-Based Neural Network for Inpatient Fall Detection From Electronic Medical Records: Retrospective Cohort Study

BERT-Based Neural Network for Inpatient Fall Detection From Electronic Medical Records: Retrospective Cohort Study

BERT-Based Neural Network for Inpatient Fall Detection From Electronic Medical Records: Retrospective Cohort Study

Authors of this article:

Cheligeer Cheligeer1, 2 Author Orcid Image ;   Guosong Wu1, 3 Author Orcid Image ;   Seungwon Lee1, 2 Author Orcid Image ;   Jie Pan1, 3 Author Orcid Image ;   Danielle A Southern1 Author Orcid Image ;   Elliot A Martin1, 2 Author Orcid Image ;   Natalie Sapiro1 Author Orcid Image ;   Cathy A Eastwood1, 3 Author Orcid Image ;   Hude Quan1, 3 Author Orcid Image ;   Yuan Xu1, 3, 4, 5 Author Orcid Image
Article Authors Cited by (2) Tweetations (3) Metrics

Journals

  1. Xie F, Lee M, Allahwerdy S, Getahun D, Wessler B, Chen W. Identifying the Severity of Heart Valve Stenosis and Regurgitation Among a Diverse Population Within an Integrated Health Care System: Natural Language Processing Approach. JMIR Cardio 2024;8:e60503 View
  2. Cheligeer K, Wu G, Laws A, Quan M, Li A, Brisson A, Xie J, Xu Y. Validation of large language models for detecting pathologic complete response in breast cancer using population-based pathology reports. BMC Medical Informatics and Decision Making 2024;24(1) View