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

Natural Language Processing (706) Tools, Programs and Algorithms (275) Diabetes-specific EHR Improvements (33) Patient Experiences with Diabetes Technology (33)

Published on in Vol 4, No 4 (2016): Oct-Dec

Web-based Real-Time Case Finding for the Population Health Management of Patients With Diabetes Mellitus: A Prospective Validation of the Natural Language Processing–Based Algorithm With Statewide Electronic Medical Records

Web-based Real-Time Case Finding for the Population Health Management of Patients With Diabetes Mellitus: A Prospective Validation of the Natural Language Processing–Based Algorithm With Statewide Electronic Medical Records

Web-based Real-Time Case Finding for the Population Health Management of Patients With Diabetes Mellitus: A Prospective Validation of the Natural Language Processing–Based Algorithm With Statewide Electronic Medical Records

Authors of this article:

Le Zheng1, 2 Author Orcid Image ;   Yue Wang2, 3 Author Orcid Image ;   Shiying Hao2 Author Orcid Image ;   Andrew Y Shin2 Author Orcid Image ;   Bo Jin4 Author Orcid Image ;   Anh D Ngo4 Author Orcid Image ;   Medina S Jackson-Browne4 Author Orcid Image ;   Daniel J Feller4 Author Orcid Image ;   Tianyun Fu4 Author Orcid Image ;   Karena Zhang2 Author Orcid Image ;   Xin Zhou5 Author Orcid Image ;   Chunqing Zhu4 Author Orcid Image ;   Dorothy Dai4 Author Orcid Image ;   Yunxian Yu6 Author Orcid Image ;   Gang Zheng3 Author Orcid Image ;   Yu-Ming Li5 Author Orcid Image ;   Doff B McElhinney2 Author Orcid Image ;   Devore S Culver7 Author Orcid Image ;   Shaun T Alfreds7 Author Orcid Image ;   Frank Stearns4 Author Orcid Image ;   Karl G Sylvester2 Author Orcid Image ;   Eric Widen4 Author Orcid Image ;   Xuefeng Bruce Ling2, 6 Author Orcid Image
Article Authors Cited by (40) Tweetations (2) Metrics

Journals

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  21. Sai Prashanthi G, Deva A, Vadapalli R, Das A. Automated Categorization of Systemic Disease and Duration From Electronic Medical Record System Data Using Finite-State Machine Modeling: Prospective Validation Study. JMIR Formative Research 2020;4(12):e24490 View
  22. Turchin A, Florez Builes L. Using Natural Language Processing to Measure and Improve Quality of Diabetes Care: A Systematic Review. Journal of Diabetes Science and Technology 2021;15(3):553 View
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  28. Wang L, Zhang Y, Chignell M, Shan B, Sheehan K, Razak F, Verma A. Boosting Delirium Identification Accuracy With Sentiment-Based Natural Language Processing: Mixed Methods Study. JMIR Medical Informatics 2022;10(12):e38161 View
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Books/Policy Documents

  1. Buchlak Q, Esmaili N, Bennett C, Farrokhi F. Machine Learning in Clinical Neuroscience. View
  2. Manaka T, van Zyl T, Kar D. Artificial Intelligence Research. View