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The Liverpool alcohol-related liver disease algorithm identifies twice as many emergency admissions compared to standard methods when applied to Hospital Episode Statistics for England.

Ashwin D DhandaKeith BodgerSteve HoodClive HennMichael AllisonChioma AmasiatuRobyn BurtonMatthew CrampEwan H ForrestMeetal KhetaniAlastair MacGilchristSteven MassonRichard ParkerNick SheronKen SimpsonNikhil VergisMartin Whitenull null
Published in: Alimentary pharmacology & therapeutics (2022)
The LAA can be applied successfully to local and national datasets. It consistently identifies approximately 100% more cases than the standard coding approach. The algorithm has revealed the true extent of ArLD admissions. The pandemic has compounded a long-term rise in ArLD admissions and mortality.
Keyphrases
  • machine learning
  • genome wide
  • deep learning
  • healthcare
  • sars cov
  • coronavirus disease
  • emergency department
  • public health
  • cardiovascular events
  • single cell
  • risk factors
  • adverse drug
  • alcohol consumption