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Development and validation of a heart failure with preserved ejection fraction cohort using electronic medical records.

Yash R PatelJeremy M RobbinsKatherine E KurganskyTasnim ImranAriela R OrkabyRobert R McLeanYuk-Lam HoKelly ChoJ Michael GazianoLuc DjousseDavid R GagnonJacob Joseph
Published in: BMC cardiovascular disorders (2018)
We developed a sensitive, highly specific algorithm for detecting HFpEF in a large national database. This approach may be applicable to other large EMR databases to identify HFpEF patients.
Keyphrases
  • end stage renal disease
  • ejection fraction
  • newly diagnosed
  • chronic kidney disease
  • machine learning
  • prognostic factors
  • deep learning
  • emergency department
  • big data
  • electronic health record