Artificial intelligence for the evaluation of profiles, trajectories and management of vulnerability in health: COVID-19, frailty of the elderly and cancer
SCIKIT EDS
Development of R&D tools on AP-HP massive data platform
Underway
01/12/2020
Main objectives
The data in the AP-HP health data warehouse (EDS APèHP) are made available to researchers in the form of relational databases in OMOP format. To carry out a research project on such a database requires to perform many data manipulations such as complex joins between tables, manipulations that are often the reflection of methodological biases. These data manipulations are often similar from one project to another and the objective of the Scikit-EDS project is to initiate an open-source library co-developed with the EDS community and which allows to mutualize these developments and to facilitate the reproducibility of analyses.

Publications
Members
AP-HP, Inria
Other projects
Description
Learning a deep representation of patient records for event prediction and patient segmentation
Names of partners involved
AP-HP, Inria