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Development of Interoperable Computable Phenotype Algorithms for Adverse Events of Special Interest to Be Used for Biologics Safety Surveillance: Validation Study.

Ashley A HoldeferJeno PizarroPatrick Saunders-HastingsJeffrey BeersArianna SangAaron Zachary HettingerJoseph BlumenthalErik MartinezLance Daniel JonesMatthew DeadyHussein EzzeldinSteven A Anderson
Published in: JMIR public health and surveillance (2024)
Given our algorithm design and performance, our results support continued research into using interoperable algorithms for widespread AESI postmarket detection.
Keyphrases
  • machine learning
  • deep learning
  • public health
  • loop mediated isothermal amplification
  • real time pcr
  • label free
  • sensitive detection