A Machine Learning-based Early Warning System for Circulatory System Deterioration in Intensive Care Unit Patients. - Stephanie L. Hyland; Martin Faltys; Matthias Hüser; Xinrui Lyu; Cristóbal Esteban; Gunnar Rätsch; Tobias Merz (AMIA, 2018)

Predicting circulatory system deterioration in intensive care unit patients. - Stephanie L. Hyland; Matthias Hüser; Xinrui Lyu; Martin Faltys; Tobias Merz; Gunnar Rätsch (AIH@IJCAI, 2018)

Machine learning for early prediction of circulatory failure in the intensive care unit. - Stephanie L. Hyland; Martin Faltys; Matthias Hüser; Xinrui Lyu; Thomas Gumbsch; Cristóbal Esteban; Christian Bock; Max Horn; Michael Moor; Bastian Rieck; Marc Zimmermann; Dean A. Bodenham; et al. (CoRR, 2019)

T-DPSOM: an interpretable clustering method for unsupervised learning of patient health states. - Laura Manduchi; Matthias Hüser; Martin Faltys; Julia E. Vogt; Gunnar Rätsch; Vincent Fortuin (CHIL, 2021)

HiRID-ICU-Benchmark - A Comprehensive Machine Learning Benchmark on High-resolution ICU Data. - Hugo Yèche; Rita Kuznetsova; Marc Zimmermann; Matthias Hüser; Xinrui Lyu; Martin Faltys; Gunnar Rätsch (NeurIPS Datasets and Benchmarks, 2021)

WRSE - a non-parametric weighted-resolution ensemble for predicting individual survival distributions in the ICU. - Jonathan Heitz; Joanna Ficek; Martin Faltys; Tobias M. Merz; Gunnar Rätsch; Matthias Hüser (SPACA, 2021)

Early prediction of respiratory failure in the intensive care unit. - Matthias Hüser; Martin Faltys; Xinrui Lyu; Chris Barber; Stephanie L. Hyland; Tobias M. Merz; Gunnar Rätsch (CoRR, 2021)

An empirical study on KDIGO-defined acute kidney injury prediction in the intensive care unit. - Xinrui Lyu; Bowen Fan; Matthias Hüser; Philip Hartout; Thomas Gumbsch; Martin Faltys; Tobias M. Merz; Gunnar Rätsch; Karsten M. Borgwardt (Bioinform., 2024)

Towards Foundation Models for Critical Care Time Series. - Manuel Burger; Fedor Sergeev; Malte Londschien; Daphné Chopard; Hugo Yèche; Eike Gerdes; Polina Leshetkina; Alexander Morgenroth; Zeynep Babür; Jasmina Bogojeska; Martin Faltys; Rita Kuznetsova; et al. (CoRR, 2024)