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

Reviews on Diabetes Technologies and Innovations (22) Natural Language Processing (706) Clinical Information and Decision Making (1434) Machine Learning (1501) Artificial Intelligence in Diabetes Care and Prevention (29) Diabetes Reviews and Scoping Studies (33) Diabetes Surveillance and Epidemiology (27) Secondary Use of Clinical Data for Research and Surveillance (375) Diabetes (194) Diabetes-specific EHR Improvements (33) Glucose Tracking and Self-Monitoring of Blood Glucose (166)
Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/34681, first published .
Identifying Patients With Hypoglycemia Using Natural Language Processing: Systematic Literature Review

Identifying Patients With Hypoglycemia Using Natural Language Processing: Systematic Literature Review

Identifying Patients With Hypoglycemia Using Natural Language Processing: Systematic Literature Review

Authors of this article:

Yaguang Zheng1 Author Orcid Image ;   Victoria Vaughan Dickson1 Author Orcid Image ;   Saul Blecker2 Author Orcid Image ;   Jason M Ng3 Author Orcid Image ;   Brynne Campbell Rice4 Author Orcid Image ;   Gail D’Eramo Melkus1 Author Orcid Image ;   Liat Shenkar5 Author Orcid Image ;   Marie Claire R Mortejo1 Author Orcid Image ;   Stephen B Johnson2 Author Orcid Image
Article Authors Cited by (5) Tweetations (3) Metrics

Journals

  1. Hamamoto R, Koyama T, Kouno N, Yasuda T, Yui S, Sudo K, Hirata M, Sunami K, Kubo T, Takasawa K, Takahashi S, Machino H, Kobayashi K, Asada K, Komatsu M, Kaneko S, Yatabe Y, Yamamoto N. Introducing AI to the molecular tumor board: one direction toward the establishment of precision medicine using large-scale cancer clinical and biological information. Experimental Hematology & Oncology 2022;11(1) View
  2. Kolasa K, Admassu B, Hołownia-Voloskova M, Kędzior K, Poirrier J, Perni S. Systematic reviews of machine learning in healthcare: a literature review. Expert Review of Pharmacoeconomics & Outcomes Research 2024;24(1):63 View
  3. Kuziemsky C, Chrimes D, Minshall S, Mannerow M, Lau F. AI Quality Standards in Health Care: Rapid Umbrella Review. Journal of Medical Internet Research 2024;26:e54705 View
  4. Chung J, Song S, Son H. Exploring Natural Language Processing through an Exemplar Using YouTube. International Journal of Environmental Research and Public Health 2024;21(10):1357 View
  5. Arısoy A. NATURAL LANGUAGE PROCESSING ALGORITHMS AND PERFORMANCE COMPARISON. Yalvaç Akademi Dergisi 2024;9(2):106 View