This paper is in the following e-collection/theme issue:

Statistical Methods for Surveillance and Population Health (146) Machine Learning (1370) Machine Learning (47) Artificial Intelligence, Machine Learning, and Natural Language Processing for Public Health (23) Infectious Diseases (non-STD/STI) (1478)

Published on in Vol 9 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/46898, first published .
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

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

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

Authors of this article:

Stéphanie Bougeard1 Author Orcid Image ;   Adeline Huneau-Salaun1 Author Orcid Image ;   Mikael Attia2 Author Orcid Image ;   Jean-Baptiste Richard3 Author Orcid Image ;   Caroline Demeret2 Author Orcid Image ;   Johnny Platon3 Author Orcid Image ;   Virginie Allain1 Author Orcid Image ;   Stéphane Le Vu4 Author Orcid Image ;   Sophie Goyard5 Author Orcid Image ;   Véronique Gillon6 Author Orcid Image ;   Sibylle Bernard-Stoecklin7 Author Orcid Image ;   Bernadette Crescenzo-Chaigne2 Author Orcid Image ;   Gabrielle Jones7 Author Orcid Image ;   Nicolas Rose1 Author Orcid Image ;   Sylvie van der Werf2 Author Orcid Image ;   Olivier Lantz6 Author Orcid Image ;   Thierry Rose5 Author Orcid Image ;   Harold Noël7 Author Orcid Image
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Journals

  1. Ali H, Elkheir L, Fahal A, Rodrigues M. The use of artificial intelligence to improve mycetoma management. PLOS Neglected Tropical Diseases 2024;18(2):e0011914 View