- Development and validation of an early warning model for hospitalized COVID-19 patients: a multi-center retrospective cohort study
- Towards a quieter neonatal intensive care unit: evaluating and visualizing soundscapes to raise awareness on sound-producing events
- Predicting Intensive Care Unit Readmission: Performance and Explainability of Machine Learning Algorithms
- A New Hybrid Predictive Model to Predict the Early Mortality Risk in Intensive Care Units on a Highly Imbalanced Dataset
- Sound Cultures of Critical Care: How design could tune sound-related practices of intensive care nurses
- Sparkling Moments: Reducing chances of developing post intensive care syndrome amongst pediatric patients and their parents by enabling daily special interactions