An interpretable dic risk prediction model based on convolutional neural networks with time series data

HIGHLIGHTS

• who: Hao Yang from the Information Center, West China, Sichuan University have published the Article: An interpretable DIC risk prediction model based on convolutional neural networks with time series data, in the Journal: (JOURNAL)
• what: Model interpretation To understand the contribution of features to the model predictions, Grad-CAM was used to interpret the CNN predictions, as shown in Fig 7. The authors propose a CNN Grad-CAM model for the early prediction of DIC.
• how: In this study a novel interpretable deep learning based time series is used to predict the risk . . .
  

   

  

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