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

Yaguang ZhengVictoria Vaughan DicksonSaul B BleckerJason M NgBrynne Campbell RiceGail D'Eramo MelkusSaul BleckerMarie Claire R MortejoStephen B Johnson
Published in: JMIR diabetes (2022)
The findings provided evidence that the application of NLP to analyze clinical notes improved the capture of hypoglycemic events, particularly when combined with the ICD-9 or ICD-10 codes and laboratory testing.
Keyphrases
  • type diabetes
  • glycemic control
  • metabolic syndrome
  • insulin resistance