Predicting sepsis with a recurrent neural network using the MIMIC III database.

Journal: Computers in biology and medicine

Published Date: Aug 20, 2019

Abstract

OBJECTIVE: Predicting sepsis onset with a recurrent neural network and performance comparison with InSight - a previously proposed algorithm for the prediction of sepsis onset.

Authors

Matthieu Scherpf

Institute of Biomedical Engineering, TU Dresden, Germany. Electronic address: Matthieu.Scherpf@tu-dresden.de.
Felix Gräßer

Institute of Biomedical Engineering, TU Dresden, Germany.
Hagen Malberg

Institute of Biomedical Engineering, TU Dresden, Germany.
Sebastian Zaunseder

Faculty of Information Technology, FH Dortmund, Germany.

Keywords

Adult Databases, Factual Diagnosis, Computer-Assisted Female Humans Machine Learning Male Middle Aged Neural Networks, Computer Sepsis

External Resources

View on PubMed Access via DOI PubMed (31480008)

Predicting sepsis with a recurrent neural network using the MIMIC III database.

Abstract

Authors

Keywords

External Resources

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