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From Single-Hospital to Multi-Centre Applications: Enhancing the
  Generalisability of Deep Learning Models for Adverse Event Prediction in the
  ICU

From Single-Hospital to Multi-Centre Applications: Enhancing the Generalisability of Deep Learning Models for Adverse Event Prediction in the ICU

27 March 2023
Patrick Rockenschaub
A. Hilbert
Tabea Kossen
F. Dincklage
V. Madai
D. Frey
    OOD
ArXivPDFHTML

Papers citing "From Single-Hospital to Multi-Centre Applications: Enhancing the Generalisability of Deep Learning Models for Adverse Event Prediction in the ICU"

4 / 4 papers shown
Title
Evaluation of Active Feature Acquisition Methods for Time-varying Feature Settings
Evaluation of Active Feature Acquisition Methods for Time-varying Feature Settings
Henrik von Kleist
Alireza Zamanian
I. Shpitser
Narges Ahmidi
OffRL
22
2
0
03 Dec 2023
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
13
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
1,705
0
18 Mar 2020
Out-of-Distribution Generalization via Risk Extrapolation (REx)
Out-of-Distribution Generalization via Risk Extrapolation (REx)
David M. Krueger
Ethan Caballero
J. Jacobsen
Amy Zhang
Jonathan Binas
Dinghuai Zhang
Rémi Le Priol
Aaron Courville
OOD
215
901
0
02 Mar 2020
1