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A high-throughput phenotyping algorithm is portable from adult to pediatric populations.

Alon GevaMolei LiuVidul A PanickanPaul AvillachTianxi CaiKenneth D Mandl
Published in: Journal of the American Medical Informatics Association : JAMIA (2021)
MAP is highly transportable across diverse populations and has potential for wide-scale use.
Keyphrases
  • high throughput
  • machine learning
  • single cell
  • genetic diversity
  • deep learning
  • childhood cancer
  • young adults
  • high density
  • neural network
  • low cost
  • climate change