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A novel quantitative computer-assisted drug-induced liver injury causality assessment tool (DILI-CAT).

Hans L TillmannAyako SuzukiMichael MerzRichard HermannDon C Rockey
Published in: PloS one (2022)
DILI-CAT is a data-driven, diagnostic tool built to define drug-specific phenotypes for DILI adjudication. The data provide proof of principle that a drug-specific, data-driven causality assessment tool can be developed for different drugs and raise the possibility that such a process could enhance causality assessment methods.
Keyphrases
  • drug induced
  • adverse drug
  • high resolution
  • emergency department
  • machine learning
  • mass spectrometry
  • artificial intelligence