no code implementations • 19 Mar 2024 • Hugo Yèche, Manuel Burger, Dinara Veshchezerova, Gunnar Rätsch
This study advances Early Event Prediction (EEP) in healthcare through Dynamic Survival Analysis (DSA), offering a novel approach by integrating risk localization into alarm policies to enhance clinical event metrics.
no code implementations • 15 Nov 2023 • Rita Kuznetsova, Alizée Pace, Manuel Burger, Hugo Yèche, Gunnar Rätsch
Recent findings in deep learning for tabular data are now surpassing these classical methods by better handling the severe heterogeneity of data input features.
no code implementations • 1 Jun 2023 • Alizée Pace, Hugo Yèche, Bernhard Schölkopf, Gunnar Rätsch, Guy Tennenholtz
A prominent challenge of offline reinforcement learning (RL) is the issue of hidden confounding: unobserved variables may influence both the actions taken by the agent and the observed outcomes.
1 code implementation • 26 May 2023 • Kouroche Bouchiat, Alexander Immer, Hugo Yèche, Gunnar Rätsch, Vincent Fortuin
Neural additive models (NAMs) enhance the transparency of deep neural networks by handling input features in separate additive sub-networks.
no code implementations • 6 Dec 2022 • Severin Husmann, Hugo Yèche, Gunnar Rätsch, Rita Kuznetsova
Understanding deep learning model behavior is critical to accepting machine learning-based decision support systems in the medical community.
1 code implementation • 29 Aug 2022 • Hugo Yèche, Alizée Pace, Gunnar Rätsch, Rita Kuznetsova
TLS reduces the number of missed events by up to a factor of two over previously used approaches in early event prediction.
Ranked #1 on Respiratory Failure on HiRID
1 code implementation • NeurIPS Datasets and Benchmarks 2021 • Hugo Yèche, Rita Kuznetsova, Marc Zimmermann, Matthias Hüser, Xinrui Lyu, Martin Faltys, Gunnar Rätsch
The recent success of machine learning methods applied to time series collected from Intensive Care Units (ICU) exposes the lack of standardized machine learning benchmarks for developing and comparing such methods.
Ranked #1 on Remaining Length of Stay on HiRID
1 code implementation • 9 Jun 2021 • Hugo Yèche, Gideon Dresdner, Francesco Locatello, Matthias Hüser, Gunnar Rätsch
Intensive care units (ICU) are increasingly looking towards machine learning for methods to provide online monitoring of critically ill patients.