Anya Okhmatovskaia, Yannan Shen, Iris Ganser, Nigel Collier, Nicholas B. King, Zaiqiao Meng, David L. Buckeridge. A Conceptual Framework for Representing Events Under Public Health Surveillance. 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 387-391, IOS Press, 2022. [doi]
@inproceedings{OkhmatovskaiaSG22,
title = {A Conceptual Framework for Representing Events Under Public Health Surveillance},
author = {Anya Okhmatovskaia and Yannan Shen and Iris Ganser and Nigel Collier and Nicholas B. King and Zaiqiao Meng and David L. Buckeridge},
year = {2022},
doi = {10.3233/SHTI220480},
url = {https://doi.org/10.3233/SHTI220480},
researchr = {https://researchr.org/publication/OkhmatovskaiaSG22},
cites = {0},
citedby = {0},
pages = {387-391},
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},
}