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An Artificial Neural Network-Based Pediatric Mortality Risk Score: Development and Performance Evaluation Using Data From a Large North American Registry.

Niema Ghanad PoorNicholas C WestRama Syamala SreepadaSrinivas MurthyMatthias Görges
Published in: JMIR medical informatics (2021)
A simple ANN model performed slightly better than the benchmark PIM-2 and PRISM-III scores and a traditional logistic regression model trained on the same data set. The small performance gains achieved by this two-layer ANN model may not offer clinically significant improvement; however, further research with other or more sophisticated model designs and better imputation of missing data may be warranted.
Keyphrases
  • neural network
  • electronic health record
  • big data
  • type diabetes
  • cardiovascular disease
  • risk factors
  • coronary artery disease
  • cardiovascular events
  • artificial intelligence