Time-Sensitive Deep Learning for ICU Outcome Prediction Without Variable Selection or Cleaning
Published in Intensive Care Medicine Experimental, 2019
Recommended citation: Deasy J, Liò P, Ercole A (2019). Time-Sensitive Deep Learning for ICU Outcome Prediction Without Variable Selection or Cleaning. Intensive Care Medicine Experimental. 2019;1(1):368. http://jacobdeasy.github.io/files/publications/2019-09-27-esicm.pdf
This paper is about preliminary findings of a time-sensitive and variable-selection-free deep learning model, for mortality prediction in the ICU, developed with Dr Ari Ercole and Prof. Pietro Liò at the University of Cambridge.
Recommended citation: Deasy J, Liò P, Ercole A (2019). Time-Sensitive Deep Learning for ICU Outcome Prediction Without Variable Selection or Cleaning. Intensive Care Medicine Experimental. 2019;1(1):368.