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

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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

27 March 2023

Patrick Rockenschaub

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

8 / 8 papers shown

Title
Evaluation of Active Feature Acquisition Methods for Time-varying Feature Settings Henrik von Kleist Alireza Zamanian I. Shpitser Narges Ahmidi OffRL 187 3 0 03 Dec 2023
HiRID-ICU-Benchmark -- A Comprehensive Machine Learning Benchmark on High-resolution ICU Data Hugo Yèche Rita Kuznetsova M. Zimmermann Matthias Huser Xinrui Lyu M. Faltys Gunnar Rätsch 114 42 0 16 Nov 2021
Predicting sepsis in multi-site, multi-national intensive care cohorts using deep learning Michael Moor Nicolas Bennet Drago Plečko Max Horn Bastian Rieck N. Meinshausen Peter Buhlmann Karsten Borgwardt 48 6 0 12 Jul 2021
In Search of Lost Domain Generalization Ishaan Gulrajani David Lopez-Paz OOD 103 1,157 0 02 Jul 2020
Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization Shiori Sagawa Pang Wei Koh Tatsunori B. Hashimoto Percy Liang OOD 108 1,249 0 20 Nov 2019
Learning to Generalize: Meta-Learning for Domain Generalization Da Li Yongxin Yang Yi-Zhe Song Timothy M. Hospedales OOD 102 1,430 0 10 Oct 2017
Deep CORAL: Correlation Alignment for Deep Domain Adaptation Baochen Sun Kate Saenko OOD 105 3,170 0 06 Jul 2016
On the Properties of Neural Machine Translation: Encoder-Decoder Approaches Kyunghyun Cho B. V. Merrienboer Dzmitry Bahdanau Yoshua Bengio AI4CE AIMat 268 6,791 0 03 Sep 2014