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Clinical encounter heterogeneity and methods for resolving in networked EHR data: a study from N3C and RECOVER programs.

Peter J LeeseAdit AnandAndrew T GirvinAmin MannaSaaya PatelYun Jae YooRachel WongMelissa A HaendelChristopher G ChuteTellen D BennettJanos G HajagosEmily Rose PfaffRichard A Moffitt
Published in: Journal of the American Medical Informatics Association : JAMIA (2023)
This article presents method developments to manipulate and resolve EHR encounter data issues in a generalizable way as a foundation for future research and analysis.
Keyphrases
  • electronic health record
  • big data
  • public health
  • single cell
  • data analysis
  • machine learning
  • deep learning
  • artificial intelligence