Corpus ID: 59336353

Predicting Individual Responses to Vasoactive Medications in Children with Septic Shock

@article{Fronda2019PredictingIR,
  title={Predicting Individual Responses to Vasoactive Medications in Children with Septic Shock},
  author={Nicole Fronda and J. Asencio and Cameron Carlin and David Ledbetter and M. Aczon and R. Wetzel and B. Markovitz},
  journal={ArXiv},
  year={2019},
  volume={abs/1901.10400}
}
Objective: Predict individual septic children's personalized physiologic responses to vasoactive titrations by training a Recurrent Neural Network (RNN) using EMR data. Materials and Methods: This study retrospectively analyzed EMR of patients admitted to a pediatric ICU from 2009 to 2017. Data included charted time series vitals, labs, drugs, and interventions of children with septic shock treated with dopamine, epinephrine, or norepinephrine. A RNN was trained to predict responses in heart… Expand

Paper Mentions

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