Improving Identification of Fall-Related Injuries in Ambulatory Care Using Statistical Text Mining-Reference-Cited by-同舟云学术

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Improving Identification of Fall-Related Injuries in Ambulatory Care Using Statistical Text Mining

Published:2015-06 Issue:6 Volume:105 Page:1168-1173
ISSN:0090-0036
Container-title:American Journal of Public Health
language:en
Short-container-title:Am J Public Health

Author:

Luther Stephen L.,McCart James A.,Berndt Donald J.,Hahm Bridget,Finch Dezon,Jarman Jay,Foulis Philip R.,Lapcevic William A.,Campbell Robert R.,Shorr Ronald I.,Valencia Keryl Motta,Powell-Cope Gail

Publisher

American Public Health Association

Subject

Public Health, Environmental and Occupational Health

Cited by 11 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Benzodiazepine Initiation and the Risk of Falls or Fall-Related Injuries in Older Adults Following Acute Ischemic Stroke;2024-02-08

2. The use of natural language processing in detecting and predicting falls within the healthcare setting: a systematic review;International Journal for Quality in Health Care;2023-09-27

3. Clinical Natural Language Processing in Secondary Use of EHR for Research;Health Informatics;2023

4. A hybrid model to identify fall occurrence from electronic health records;International Journal of Medical Informatics;2022-06

5. Opportunities and Challenges in Fall Risk Management using EHRs and Artificial Intelligence: A Systematic Review;Proceedings of the 23rd International Conference on Enterprise Information Systems;2021

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