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Utilization of Machine Learning Approaches to Predict Mortality in Pediatric Warzone Casualties.

Daniel T LammersJames WilliamsJeff ConnerAndrew FrancisBeau PreyChristopher MarencoKaitlin MorteJohn HortonMeade BarlowMauricio EscobarJason BinghamMatthew Eckert
Published in: Military medicine (2022)
Machine learning (ML) techniques may prove useful in identifying those at the highest risk for mortality within pediatric trauma patients from combat zones. Incorporation of advanced computational algorithms should be further explored to optimize and supplement the diagnostic and therapeutic decision-making process.
Keyphrases
  • machine learning
  • trauma patients
  • decision making
  • artificial intelligence
  • cardiovascular events
  • big data
  • risk factors
  • deep learning
  • cardiovascular disease
  • young adults