Test-Driven Anonymization in Health Data: A Case Study on Assistive Reproduction
Fecha de publicación:
2020
Versión del editor:
Descripción física:
p. 81-82
Descripción:
IEEE International Conference On Artificial Intelligence Testing (AITest) ( Oxford. 2020)
ISBN:
978-1-7281-6984-2
Patrocinado por:
This work was supported in part by the Spanish Ministry of Economy and Competitiveness under TestEAMoS (TIN2016-76956-C3-1-R) and POLOLAS (TIN 2016-76956-C3-2-R) projects, and ERDF funds. We want to thank the collaboration of INEBIR (inebir.com) and G7 Innovation (g7innovation.com) in the development of this scientific project
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