Project: Learning data integration, from discrete entities to signals (LearnI)
Project leader: Gaël Varoquaux – Parietal team – Inria Saclay - Île-de-France
Activity scope: medical imaging and epidemiological studies
Aim: to reduce the amount of time spent by human experts standardising input data for statistical analysis and learning models by hand (generally speaking, the information gathered on patients by different institutions: profession, description and name of illness, socio-economic status, etc.). This involves imagining models for optimising the gathering of multimodal data, enabling statistical analysis tools to operate, even with non-standardised databases.