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A Comparison Study of Algorithms to Detect Drug-Adverse Event Associations: Frequentist, Bayesian, and Machine-Learning Approaches.

Minh PhamFeng ChengKandethody Ramachandran
Published in: Drug safety (2020)
Our results will be useful to help choose a method for a given desired level of specificity. Methods popular in the genome-wide association study literature did not perform well because of the sparsity of data and will need modification before their properties can be used in the drug-adverse event association problem.
Keyphrases
  • machine learning
  • genome wide association study
  • adverse drug
  • big data
  • systematic review
  • artificial intelligence
  • deep learning
  • drug induced
  • emergency department
  • structural basis