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Ensembling Neural Networks for Improved Prediction and Privacy in Early
  Diagnosis of Sepsis

Ensembling Neural Networks for Improved Prediction and Privacy in Early Diagnosis of Sepsis

1 September 2022
Shigehiko Schamoni
Michael Hagmann
Stefan Riezler
    FedML
ArXivPDFHTML

Papers citing "Ensembling Neural Networks for Improved Prediction and Privacy in Early Diagnosis of Sepsis"

2 / 2 papers shown
Title
Predicting sepsis in multi-site, multi-national intensive care cohorts
  using deep learning
Predicting sepsis in multi-site, multi-national intensive care cohorts using deep learning
Michael Moor
Nicolas Bennet
Drago Plečko
Max Horn
Bastian Alexander Rieck
N. Meinshausen
Peter Buhlmann
Karsten M. Borgwardt
26
6
0
12 Jul 2021
The Future of Digital Health with Federated Learning
The Future of Digital Health with Federated Learning
Nicola Rieke
Jonny Hancox
Wenqi Li
Fausto Milletari
H. Roth
...
Ronald M. Summers
Andrew Trask
Daguang Xu
Maximilian Baust
M. Jorge Cardoso
OOD
174
1,713
0
18 Mar 2020
1