Search Results for author: Sanjay Hariharan

Found 2 papers, 1 papers with code

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

no code implementations19 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

Learning to Detect Sepsis with a Multitask Gaussian Process RNN Classifier

2 code implementations ICML 2017 Joseph Futoma, Sanjay Hariharan, Katherine Heller

We present a scalable end-to-end classifier that uses streaming physiological and medication data to accurately predict the onset of sepsis, a life-threatening complication from infections that has high mortality and morbidity.

Gaussian Processes Time Series +1

Cannot find the paper you are looking for? You can Submit a new open access paper.