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Analyzing adverse drug reaction using statistical and machine learning methods: A systematic review.

Hae Reong KimMinDong SungJi Ae ParkKyeongseob JeongHo Heon KimSuehyun LeeYu-Rang Park
Published in: Medicine (2022)
Using the 72 main articles, this review provides guidelines on which databases are frequently utilized and which analysis methods can be connected. For statistical analysis, >90% of the cases were analyzed by disproportionate or regression analysis with each spontaneous reporting system (SRS) data or electronic medical record (EMR) data; for machine learning research, however, there was a strong tendency to analyze various data combinations. Only half of the DrugBank database was occupied, and the k-nearest neighbor method accounted for the greatest proportion.
Keyphrases
  • adverse drug
  • machine learning
  • electronic health record
  • big data
  • artificial intelligence
  • emergency department
  • deep learning
  • drug induced