An Improved Multi-Output Gaussian Process RNN with Real-Time Validation for Early Sepsis Detection

no code implementations • 19 Aug 2017 • Joseph Futoma, Sanjay Hariharan, Mark Sendak, Nathan Brajer, Meredith Clement, Armando Bedoya, Cara O'Brien, Katherine Heller

Latent function values from the Gaussian process are then fed into a deep recurrent neural network to classify patient encounters as septic or not, and the overall model is trained end-to-end using back-propagation.

Gaussian Processes Time Series Analysis