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Translating and evaluating historic phenotyping algorithms using SNOMED CT.

Musaab ElkhederArturo Gonzalez-IzquierdoMuhammad Qummer Ul ArfeenValerie KuanR Thomas LumbersSpiros DenaxasAnoop Dinesh Shah
Published in: Journal of the American Medical Informatics Association : JAMIA (2022)
SNOMED CT provides an efficient way to define disease phenotypes, resulting in similar patient populations to manually curated codelists.
Keyphrases
  • image quality
  • dual energy
  • computed tomography
  • contrast enhanced
  • machine learning
  • positron emission tomography
  • case report
  • high throughput
  • magnetic resonance imaging
  • deep learning
  • magnetic resonance
  • single cell