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Multivariate Sequential Analytics for Cardiovascular Disease Event Prediction.

William HsuJim WarrenPatricia Riddle
Published in: Methods of information in medicine (2022)
 This study provides evidence that the use of deep temporal models particularly LSTM in clinical decision support for chronic disease would be advantageous with LSTM significantly improving on commonly used regression models such as logistic regression and Cox proportional hazards on the task of CVD event prediction.
Keyphrases
  • clinical decision support
  • cardiovascular disease
  • neural network
  • electronic health record
  • type diabetes
  • metabolic syndrome
  • data analysis
  • cardiovascular events
  • artificial intelligence