A Knowledge Distillation Approach for Sepsis Outcome Prediction from Multivariate Clinical Time Series

no code implementations • 16 Nov 2023 • Anna Wong, Shu Ge, Nassim Oufattole, Adam Dejl, Megan Su, Ardavan Saeedi, Li-wei H. Lehman

In this work, we use knowledge distillation via constrained variational inference to distill the knowledge of a powerful "teacher" neural network model with high predictive power to train a "student" latent variable model to learn interpretable hidden state representations to achieve high predictive performance for sepsis outcome prediction.

Knowledge Distillation Time Series +1