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Predicting mortality among patients with liver cirrhosis in electronic health records with machine learning.

Aixia GuoNikhilesh R MazumderDaniela P LadnerRandi E Foraker
Published in: PloS one (2021)
Other variables such as alkaline phosphatase, alanine aminotransferase, and hemoglobin were also top informative features besides the 4 MELD-Na variables. Machine learning and deep learning models outperformed the current standard of risk prediction among patients with cirrhosis. Advanced informatics techniques showed promise for risk prediction in patients with cirrhosis.
Keyphrases
  • machine learning
  • electronic health record
  • deep learning
  • big data
  • artificial intelligence
  • clinical decision support
  • adverse drug
  • cardiovascular events
  • risk factors
  • cardiovascular disease
  • red blood cell