Artificial intelligence for the evaluation of profiles, trajectories and management of vulnerability in health: COVID-19, frailty of the elderly and cancer
COMETH
Innovative benchmarking approaches to improve COmputational METHods for big data analysis in Health
01/01/2020
-
31/12/2020
Main objectives
Project led by the University of Grenoble with German and Spanish teams.
The objective is to set up an algorithm that evaluates the heterogeneity of biological tissues thanks to a platform (plug & play) in which we can load the data, analyze them without coding and observe how they compare to each other
The objective is to set up an algorithm that evaluates the heterogeneity of biological tissues thanks to a platform (plug & play) in which we can load the data, analyze them without coding and observe how they compare to each other
© AP-HP
Members
AP-HP, Inria, UGA et université de Barcelone, Heidelberg University Hospital
Other projects
Description
Learning a deep representation of patient records for event prediction and patient segmentation
Names of partners involved
AP-HP, Inria