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Identification of Incident Uterine Fibroids Using Electronic Medical Record Data.

Onchee YuSusan D ReedRenate Schulze-RathJane GraftonKelly HansenDelia Scholes
Published in: EGEMS (Washington, DC) (2019)
Compared to diagnosis codes alone, our algorithms using fibroid diagnosis codes and additional electronic data improved identification of incident cases with higher PPV, and high sensitivity or specificity to meet different aims of future studies seeking to identify incident fibroids from electronic data.
Keyphrases
  • electronic health record
  • cardiovascular disease
  • big data
  • machine learning
  • mental health
  • type diabetes
  • deep learning
  • bioinformatics analysis
  • current status
  • structural basis