Application of Machine Learning Prediction of Individual SARS-CoV-2 Vaccination and Infection Status to the French Serosurveillance Survey From March 2020 to 2022: Cross-Sectional Study.

Stéphanie Bougeard Adeline Huneau-Salaün Mikael Attia Jean-Baptiste Richard Caroline Demeret Johnny Platon Virginie Allain Stéphane Le Vu Sophie Goyard Véronique Gillon Sibylle Bernard-Stoecklin Bernadette Crescenzo-Chaigne Gabrielle Jones Nicolas Rose Sylvie van der Werf Olivier Lantz Thierry Rose Harold Noël

Published in: JMIR public health and surveillance (2023)

Combining results from the serosurveillance survey with more complete data from another longitudinal cohort completes the information retrieved from serosurveillance while keeping its protocol simple and easy to implement.

Keyphrases

sars cov
machine learning
cross sectional
big data
randomized controlled trial
artificial intelligence
electronic health record
respiratory syndrome coronavirus
health information
deep learning
data analysis