Christophe Gaudet-Blavignac, Julien Ehrsam, Hugues Turbé, Daniel Keszthelyi, Jamil Zaghir, Christian Lovis. Deep SNOMED CT Enabled Large Clinical Database About COVID-19. In Brigitte Séroussi, Patrick Weber, Ferdinand Dhombres, Cyril Grouin, Jan-David Liebe, Sylvia Pelayo, Andrea Pinna 0001, Bastien Rance, Lucia Sacchi, Adrien Ugon, Arriel Benis, Parisis Gallos, editors, Challenges of Trustable AI and Added-Value on Health - Proceedings of MIE 2022, Medical Informatics Europe, Nice, France, May 27-30, 2022. Volume 294 of Studies in Health Technology and Informatics, pages 317-321, IOS Press, 2022. [doi]
@inproceedings{Gaudet-Blavignac22,
title = {Deep SNOMED CT Enabled Large Clinical Database About COVID-19},
author = {Christophe Gaudet-Blavignac and Julien Ehrsam and Hugues Turbé and Daniel Keszthelyi and Jamil Zaghir and Christian Lovis},
year = {2022},
doi = {10.3233/SHTI220466},
url = {https://doi.org/10.3233/SHTI220466},
researchr = {https://researchr.org/publication/Gaudet-Blavignac22},
cites = {0},
citedby = {0},
pages = {317-321},
booktitle = {Challenges of Trustable AI and Added-Value on Health - Proceedings of MIE 2022, Medical Informatics Europe, Nice, France, May 27-30, 2022},
editor = {Brigitte Séroussi and Patrick Weber and Ferdinand Dhombres and Cyril Grouin and Jan-David Liebe and Sylvia Pelayo and Andrea Pinna 0001 and Bastien Rance and Lucia Sacchi and Adrien Ugon and Arriel Benis and Parisis Gallos},
volume = {294},
series = {Studies in Health Technology and Informatics},
publisher = {IOS Press},
isbn = {978-1-64368-285-3},
}