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

Natural Language Processing (860) Machine Learning (1934) Diabetes Prevention (111) Decision Support for Health Professionals (1449) Electronic Health Records (1257) Clinical Information and Decision Making (1789) Ontologies, Classifications, and Coding (304)

Published on in Vol 10, No 2 (2022): February

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/29803, first published .
Identification of Prediabetes Discussions in Unstructured Clinical Documentation: Validation of a Natural Language Processing Algorithm

Identification of Prediabetes Discussions in Unstructured Clinical Documentation: Validation of a Natural Language Processing Algorithm

Identification of Prediabetes Discussions in Unstructured Clinical Documentation: Validation of a Natural Language Processing Algorithm

Authors of this article:

Jessica L Schwartz1, 2 Author Orcid Image ;   Eva Tseng1, 3 Author Orcid Image ;   Nisa M Maruthur1, 3, 4 Author Orcid Image ;   Masoud Rouhizadeh5, 6 Author Orcid Image
Article Authors Cited by (8) Tweetations (8) Metrics

Journals

  1. Sørensen N, Bemman B, Jensen M, Moeslund T, Thomsen J. Machine learning in general practice: scoping review of administrative task support and automation. BMC Primary Care 2023;24(1) View
  2. Singh P, Haimovich J, Reeder C, Khurshid S, Lau E, Cunningham J, Philippakis A, Anderson C, Ho J, Lubitz S, Batra P. One Clinician Is All You Need–Cardiac Magnetic Resonance Imaging Measurement Extraction: Deep Learning Algorithm Development. JMIR Medical Informatics 2022;10(9):e38178 View
  3. Sajdeya R, Mardini M, Tighe P, Ison R, Bai C, Jugl S, Hanzhi G, Zandbiglari K, Adiba F, Winterstein A, Pearson T, Cook R, Rouhizadeh M. Developing and validating a natural language processing algorithm to extract preoperative cannabis use status documentation from unstructured narrative clinical notes. Journal of the American Medical Informatics Association 2023;30(8):1418 View
  4. Jeon E, Kim A, Lee J, Heo H, Lee H, Woo K. Developing a Classification Algorithm for Prediabetes Risk Detection From Home Care Nursing Notes. CIN: Computers, Informatics, Nursing 2023;41(7):539 View
  5. Uğraş Tiryaki E, Şimşek E. Artificial Intelligence Applications in Health. Arşiv Kaynak Tarama Dergisi 2024;33(2):98 View
  6. Lalani B, Herur R, Zade D, Collins G, Dishong D, Mehta S, Shim J, Valdez Y, Mathioudakis N. Applications of Artificial Intelligence and Machine Learning in Prediabetes: A Scoping Review. Journal of Diabetes Science and Technology 2025 View
  7. Almadhoun M, Burhanuddin M. Optimizing Feature Selection and Machine Learning Algorithms for Early Detection of Prediabetes Risk: Comparative Study. JMIR Bioinformatics and Biotechnology 2025;6:e70621 View

Conference Proceedings

  1. Deenmahomed M, Bassoo V. 2024 5th International Conference on Emerging Trends in Electrical, Electronic and Communications Engineering (ELECOM). Harnessing Named Entity Recognition to Extract Key Information from Unstructured Documents View