Clinico-administrative and longitudinal data,
Modeling and prediction,
Healthcare utilization trajectories.
We use various data sources to their fullest potential
to identify previously unknown patterns.
Research team
We are a research team led by Prof. Delphine-Bosson Rieutort and affiliated with the School of Public Health at the Université de Montréal (ESPUM).
Methods
We use data science methods, with a focus on process mining, machine learning, and spatial analysis.
Application areas
Our work focuses on key public health areas, including population aging, home care, and palliative and end-of-life care.
Team News
- New paper accepted !A new article from our team has been accepted ! More details coming soon.
- New publication!New article published in Annals of Work Exposures and Health in collaboration with our friends in occupational health!
Publications
Explore the various projects carried out by our team.
You can also view some of our oral communications in the Media section.
