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Identifying patients with diagnosed cirrhosis in administrative health databases: a validation study.

Nabiha FaisalLisa M LixRandy WalldAlexander SingerEberhard RennerHarminder SinghLeanne KosowanAlyson Mahar
Published in: Canadian liver journal (2024)
Cirrhosis algorithms applied to administrative health data had moderate validity when a validated case definition for primary care EMRs was the reference standard. This study provides algorithms for identifying diagnosed cirrhosis cases for population-based research and surveillance studies.
Keyphrases
  • public health
  • primary care
  • machine learning
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  • deep learning
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  • artificial intelligence
  • human health
  • climate change
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