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Enhancing Comparative Effectiveness Research With Automated Pediatric Pneumonia Detection in a Multi-Institutional Clinical Repository: A PHIS+ Pilot Study.

Stephane M MeystreRamkiran GouripeddiJoel TiederJeffrey SimmonsRajendu SrivastavaSamir S Shah
Published in: Journal of medical Internet research (2017)
NLP-based pneumonia information extraction of pediatric diagnostic imaging reports performed better than domain experts in this pilot study. NLP is an efficient method to extract information from a large collection of imaging reports to facilitate CER.
Keyphrases
  • high resolution
  • machine learning
  • oxidative stress
  • health information
  • high throughput
  • deep learning
  • healthcare
  • childhood cancer
  • label free
  • extracorporeal membrane oxygenation