Artificial intelligence for the evaluation of profiles, trajectories and management of vulnerability in health: COVID-19, frailty of the elderly and cancer
DEEP PATIENT
Learning a deep representation of patient records for event prediction and patient segmentation
Underway
10/04/2021
Main objectives
Development of deep representations of patient records integrating heterogeneous data.
These representations will then be used as input for more specific tasks: prediction of risk scores, similarity between patients for example.
These representations will then be used as input for more specific tasks: prediction of risk scores, similarity between patients for example.
© Patricia Simon / AP-HP
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