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Why Interpretable Causal Inference is Important for High-Stakes Decision Making for Critically Ill Patients and How To Do It.

Harsh ParikhKentaro HoffmanHaoqi SunWendong GeJin JingRajesh AmerineniLin LiuJimeng SunSahar ZafarAaron StruckAlexander VolfovskyCynthia RudinM. Brandon Westover
Published in: CoRR (2022)
Keyphrases
  • causal inference
  • decision making
  • causal models
  • additive noise
  • nonmonotonic reasoning
  • abductive reasoning
  • discrete data
  • bayesian networks
  • prior knowledge
  • logic programming
  • rare events