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

Development and Evaluation of Research Methods, Instruments and Tools (632) Natural Language Processing (801) Ontologies, Classifications, and Coding (271) Electronic Health Records (1183)

Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/43014, first published .
Extracting Medical Information From Free-Text and Unstructured Patient-Generated Health Data Using Natural Language Processing Methods: Feasibility Study With Real-world Data

Extracting Medical Information From Free-Text and Unstructured Patient-Generated Health Data Using Natural Language Processing Methods: Feasibility Study With Real-world Data

Extracting Medical Information From Free-Text and Unstructured Patient-Generated Health Data Using Natural Language Processing Methods: Feasibility Study With Real-world Data

Authors of this article:

Emre Sezgin1, 2 Author Orcid Image ;   Syed-Amad Hussain1 Author Orcid Image ;   Steve Rust1 Author Orcid Image ;   Yungui Huang1 Author Orcid Image
Article Authors Cited by (30) Tweetations (9) Metrics

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  4. Soto Jacome C, Segura Torres D, Fan J, Loor-Torres R, Duran M, Al Zahidy M, Cabezas E, Borras-Osorio M, Toro-Tobon D, Wu Y, Wu Y, Singh Ospina N, Brito J. Thyroid Ultrasound Appropriateness Identification Through Natural Language Processing of Electronic Health Records. Mayo Clinic Proceedings: Digital Health 2024;2(1):67 View
  5. Shalfeeva E, Gribova V. The Issues of Creation of Machine-Understandable Smart Standards Based on Knowledge Graphs. Informatics and Automation 2024;23(4):969 View
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  8. Tabaie A, Tran A, Calabria T, Bennett S, Milicia A, Weintraub W, Gallagher W, Yosaitis J, Schubel L, Hill M, Smith K, Miller K. Evaluation of a Natural Language Processing Approach to Identify Diagnostic Errors and Analysis of Safety Learning System Case Review Data: Retrospective Cohort Study. Journal of Medical Internet Research 2024;26:e50935 View
  9. Chang E, Sung S. Use of SNOMED CT in Large Language Models: Scoping Review. JMIR Medical Informatics 2024;12:e62924 View
  10. Pooryousef V, Cordeil M, Besançon L, Bassed R, Dwyer T. Collaborative Forensic Autopsy Documentation and Supervised Report Generation Using a Hybrid Mixed-Reality Environment and Generative AI. IEEE Transactions on Visualization and Computer Graphics 2024;30(11):7452 View
  11. Kawasaki Y, Nii M, Nishioka E. Nursing Records Regarding Decision-Making in Cancer Supportive Care: A Retrospective Study in Japan. Healthcare Informatics Research 2024;30(4):364 View
  12. Khalate P, Gite S, Pradhan B, Lee C. Advancements and gaps in natural language processing and machine learning applications in healthcare: a comprehensive review of electronic medical records and medical imaging. Frontiers in Physics 2024;12 View
  13. Luo J, West N, Pang S, Robillard J, Page P, Chadha N, Gan H, Correll L, Ridgway R, Broemling N, Görges M. Parental Perspectives on Pediatric Surgical Recovery: Narrative Analysis of Free-Text Comments From a Postoperative Survey. JMIR Perioperative Medicine 2024;7:e65198 View
  14. Li Y, Law J, Le L, Li J, Pettengell C, Demarco P, Duong M, Merritt D, Davidson S, Sung M, Li Q, Lau S, Zahir S, Chu R, Ryan M, Karim K, Morganstein J, Sacher A, Eng L, Shepherd F, Bradbury P, Liu G, Leighl N. Assessing the feasibility and external validity of natural language processing-extracted data for advanced lung cancer patients. Lung Cancer 2025;199:108080 View
  15. Zhuang Y, Zhang J, Li X, Liu C, Yu Y, Dong W, He K. Autonomous International Classification of Diseases Coding Using Pretrained Language Models and Advanced Prompt Learning Techniques: Evaluation of an Automated Analysis System Using Medical Text. JMIR Medical Informatics 2025;13:e63020 View
  16. Camacho-Cogollo J, Patiño Zambrano C, Lochmuller C, Colmenares-Mejia C, Rozo N, Isaza-Ruget M, Rodriguez P, García A. An application of natural language processing for hypoglycemic event identification in patients with diabetes mellitus. Healthcare Analytics 2025;7:100381 View
  17. Alafari F, Driss M, Cherif A. Advances in natural language processing for healthcare: A comprehensive review of techniques, applications, and future directions. Computer Science Review 2025;56:100725 View
  18. Sezgin E, Jackson D, Kaufman K, Skeens M, Gerhardt C, Moscato E. Perceptions about the use of virtual assistants for seeking health information among caregivers of young childhood cancer survivors. DIGITAL HEALTH 2025;11 View
  19. Awuklu Y, Mougin F, Griffier R, Bienvenu M, Jouhet V. Ontology-driven identification of inconsistencies in clinical data: A case study in lung cancer phenotyping. Journal of Biomedical Informatics 2025;165:104808 View
  20. Dalsten Hjort A, Hammar T, Myrberg K. Primary Care Nurses’ Experiences of Structured Documentation: A Qualitative Interview Study. Global Qualitative Nursing Research 2025;12 View
  21. Jabal M, Warman P, Zhang J, Gupta K, Jain A, Mazurowski M, Wiggins W, Magudia K, Calabrese E. Open-Weight Language Models and Retrieval-Augmented Generation for Automated Structured Data Extraction from Diagnostic Reports: Assessment of Approaches and Parameters. Radiology: Artificial Intelligence 2025;7(3) View

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Conference Proceedings

  1. Bansal A, Kumar Saraswat B, Sharma B, Nayan S, Kathuria K. 2023 3rd International Conference on Technological Advancements in Computational Sciences (ICTACS). Data Extraction and Integration from Unstructured Electronic Health Records View
  2. C P, Gawali P, Murari K, Agrawal T, Kavitha R, Mukuntharaj C. 2023 2nd International Conference on Futuristic Technologies (INCOFT). Natural Language Processing for Extracting Meaningful Insights from Textual Information View
  3. Katyan D, Gulati G, Upreti G. 2024 3rd International Conference on Applied Artificial Intelligence and Computing (ICAAIC). Utilising NLP for Enhanced Clinical Text Mining View