no code implementations • 27 Mar 2024 • Fabian Baldenweg, Manuel Burger, Gunnar Rätsch, Rita Kuznetsova
Electronic Health Record (EHR) datasets from Intensive Care Units (ICU) contain a diverse set of data modalities.
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 • 13 Nov 2023 • Samyak Jain, Manuel Burger, Gunnar Rätsch, Rita Kuznetsova
Intensive Care Units (ICU) require comprehensive patient data integration for enhanced clinical outcome predictions, crucial for assessing patient conditions.
1 code implementation • 1 Nov 2023 • Yurong Hu, Manuel Burger, Gunnar Rätsch, Rita Kuznetsova
In research areas with scarce data, representation learning plays a significant role.
1 code implementation • 10 Jul 2023 • Manuel Burger, Gunnar Rätsch, Rita Kuznetsova
The results demonstrate the significance of multi-modal medical concept representations based on prior medical knowledge.
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
no code implementations • NeurIPS Workshop Document_Intelligen 2019 • Oleg Bakhteev, Alexandr Ogaltsov, Andrey Khazov, Kamil Safin, Rita Kuznetsova
Plagiarism and text reuse become more available with the Internet development.
no code implementations • 22 Jun 2018 • Rita Kuznetsova, Oleg Bakhteev, Alexandr Ogaltsov
The work investigates deep generative models, which allow us to use training data from one domain to build a model for another domain.
Cross-Lingual Document Classification Document Classification +4