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Detection Algorithms for Gastrointestinal Perforation Cases in the Medical Information Database Network (MID-NET ® ) in Japan.

Masatoshi TanigawaMei KohamaKaori HirataRieko IzukuraTadashi KandabashiYoko KataokaNaoki NakashimaMichio KimuraYoshiaki UyamaHideto Yokoi
Published in: Therapeutic innovation & regulatory science (2024)
, revealing the trade-offs between accuracy and sensitivity. The algorithm with the most reasonable balance was determined. These findings enhance pharmacovigilance efforts and facilitate further research to optimize adverse event detection algorithms.
Keyphrases
  • machine learning
  • deep learning
  • adverse drug
  • loop mediated isothermal amplification
  • real time pcr
  • label free
  • healthcare
  • emergency department
  • quantum dots
  • sensitive detection
  • electronic health record