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Feasibility of Large-Scale Identification of Sessile Serrated Polyp Patients Using Electronic Records: A Utah Study.

Kajsa E AffolterKeith GligorichNiloy Jewel SamadderWade S SamowitzKaren Curtin
Published in: Digestive diseases and sciences (2017)
A simple rules-based search to identify SSP provides "proof of principle" that SSP can be identified in a large electronic record set. Pilot data indicate defining large, right-sided polyps as ≥5 mm provides adequate sensitivity to detect SSP from electronic records while maintaining high specificity.
Keyphrases
  • end stage renal disease
  • newly diagnosed
  • ejection fraction
  • prognostic factors
  • peritoneal dialysis
  • patient reported
  • artificial intelligence