3 citations · 6 across the 5 of their papers we have counts for
3 papers · 1 filter
Causal thinking for decision making on Electronic Health Records: why and how
Matthieu Doutreligne, Tristan Struja, Judith Abecassis +3
Accurate predictions, as with machine learning, may not suffice to provide optimal healthcare for every patient. Indeed, prediction can be driven by shortcuts in the data, such as…
Good practices for clinical data warehouse implementation: a case study in France
Matthieu Doutreligne, Adeline Degremont, Pierre-Alain Jachiet +2
Real World Data (RWD) bears great promises to improve the quality of care. However, specific infrastructures and methodologies are required to derive robust knowledge and brings in…
How to select predictive models for causal inference?
Matthieu Doutreligne, Gaël Varoquaux
As predictive models -- e.g., from machine learning -- give likely outcomes, they may be used to reason on the effect of an intervention, a causal-inference task. The increasing co…