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Reviews on Diabetes Technologies and Innovations (68) Clinical Information and Decision Making (2171) Natural Language Processing (1001) Diabetes (298) Glucose Tracking and Self-Monitoring of Blood Glucose (213) Diabetes-specific EHR Improvements (36) Diabetes Surveillance and Epidemiology (43) Secondary Use of Clinical Data for Research and Surveillance (512) Machine Learning (2330) Artificial Intelligence in Diabetes Care and Prevention (71)
Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/34681, first published .
OneTouch Ultra glucose meter displaying 8.39 mmol/L, with diabetes pills and orange flavored vitamin drink

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
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