Epidemiological monitoring of the Covid-19 pandemic period by automatic real-time classification of clinical notes from emergency call centers on the 15th using artificial neural networks of the Transformer type
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Key facts
Disease
COVID-19start year
-99Known Financial Commitments (USD)
$0Funder
ANRPrincipal Investigator
Emmanuel LAGARDEResearch Location
FranceLead Research Institution
Université de BordeauxResearch Priority Alignment
N/A
Research Category
N/A
Research Subcategory
N/A
Special Interest Tags
N/A
Study Type
Unspecified
Clinical Trial Details
N/A
Broad Policy Alignment
Pending
Age Group
Unspecified
Vulnerable Population
Unspecified
Occupations of Interest
Unspecified
Abstract
The COSAM project, coordinated by Emmanuel Lagarde (University of Bordeaux), proposes to apply an automatic real-time classification tool for clinical notes using artificial neural networks, for the classification of emergency calls from 15. The objective is to monitor general indicators of mental and physical health, in order to participate in the epidemiological surveillance of the post-containment period.