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Pediatric septic shock estimation using deep learning and electronic medical records.

Ji Weon LeeBongjin LeeJune Dong Park
Published in: Acute and critical care (2024)
The proposed deep learning model simplifies early septic shock diagnosis in pediatric patients, reducing the diagnostic workload. Its high accuracy allows timely treatment, but external validation through prospective studies is needed.
Keyphrases
  • septic shock
  • deep learning
  • artificial intelligence
  • convolutional neural network
  • machine learning
  • replacement therapy