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

Natural Language Processing (1320) Decision Support for Health Professionals (2311) Electronic Health Records (1773) Methods and Instruments in Medical Informatics (432) Ontologies, Classifications, and Coding (461) Machine Learning (3303)

Published on in Vol 11 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/45105, first published .
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Identifying Risk Factors Associated With Lower Back Pain in Electronic Medical Record Free Text: Deep Learning Approach Using Clinical Note Annotations

Identifying Risk Factors Associated With Lower Back Pain in Electronic Medical Record Free Text: Deep Learning Approach Using Clinical Note Annotations

Authors of this article:

Alan Katz1 Author Orcid Image ;   Aman Jaiswal2 Author Orcid Image ;   Marcello Nesca1 Author Orcid Image ;   Evangelos Milios2 Author Orcid Image
Article Authors Cited by (4) Tweetations (3) Metrics

Journals

  1. Jerfy A, Selden O, Balkrishnan R. The Growing Impact of Natural Language Processing in Healthcare and Public Health. INQUIRY: The Journal of Health Care Organization, Provision, and Financing 2024;61 View
  2. Iannone S, Kaur A, Johnson K. Artificial Intelligence in Outpatient Primary Care: A Scoping Review on Applications, Challenges, and Future Directions. Journal of General Internal Medicine 2026;41(2):364 View
  3. Hong S, Na H. Transformer-Based Language Models for Clinical Decision Support Using Clinical Notes: A Scoping Review. Information 2026;17(7):712 View
  4. Santosh Naduvinamani , Dr. Aniket Bandyopadhyay , Dr. Ankan Mukherjee , Dr Pooja Sharma , Ashish Kumar Shukla . Deep Learning Models for Automated Assessment of Chronic Low Back Pain Severity Using Clinical and Imaging Data. PAIN, JOINTS, SPINE 2026;16(2S):42 View