Thomas De Corte
Gent, VLG, Belgium
Last Updated: 09/26/2026
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Found 14 publications
The impact of intensive care strain on patients' outcomes-a multinational observational cohort (UNITE-COVID) study.
Journal: Critical care (London, England)
Published: March 14, 2025
Evaluating early mobilisation in critically ill COVID-19 patients: Secondary analysis from the ESICM UNITE-COVID-II multicentre observational study.
Journal: Anaesthesia, critical care & pain medicine
Published: February 15, 2025
Characteristics of co-infection and secondary infection amongst critically ill COVID-19 patients in the first two waves of the pandemic.
Journal: Intensive care medicine
Published: April 11, 2024
Early mobilisation in critically ill COVID-19 patients: a subanalysis of the ESICM-initiated UNITE-COVID observational study.
Journal: Annals of intensive care
Published: May 07, 2023
Pathogen-based target attainment of optimized continuous infusion dosing regimens of piperacillin-tazobactam and meropenem in surgical ICU patients: a prospective single center observational study.
Journal: Annals of intensive care
Published: January 24, 2023
Generalizable calibrated machine learning models for real-time atrial fibrillation risk prediction in ICU patients.
Journal: International journal of medical informatics
Published: January 19, 2023
Correction: Co-infection and ICU-acquired infection in COVID-19 ICU patients: a secondary analysis of the UNITE-COVID data set.
Journal: Critical care (London, England)
Published: August 17, 2022
Correction to: Clinical and organizational factors associated with mortality during the peak of first COVID-19 wave: the global UNITE-COVID study.
Journal: Intensive care medicine
Published: July 07, 2022
Co-infection and ICU-acquired infection in COIVD-19 ICU patients: a secondary analysis of the UNITE-COVID data set.
Journal: Critical care (London, England)
Published: June 24, 2022
Artificial Intelligence in Infection Management in the ICU.
Journal: Critical care (London, England)
Published: March 26, 2022
Development and evaluation of uncertainty quantifying machine learning models to predict piperacillin plasma concentrations in critically ill patients.
Journal: BMC medical informatics and decision making
Published: March 16, 2022
Last Updated: 09/26/2026