Dynamic survival prediction in intensive care units from heterogeneous time series without the need for variable selection or pre-processing
Published in arXiv, 2019
Recommended citation: Deasy J, Liò P, Ercole A (2019). Dynamic survival prediction in intensive care units from heterogeneous time series without the need for variable selection or pre-processing. arXiv preprint arXiv:1909.07214. http://jacobdeasy.github.io/files/publications/2019-09-17-dynamic.pdf
This paper expands upon prior work on time-sensitive and variable-selection-free deep learning models for mortality prediction in the ICU. Currently under review.
Recommended citation: Deasy J, Liò P, Ercole A (2019). Dynamic survival prediction in intensive care units from heterogeneous time series without the need for variable selection or pre-processing. arXiv preprint arXiv:1909.07214.