Please use this identifier to cite or link to this item: http://hdl.handle.net/10174/30257

Title: An Assessment of Data Guidelines in Cryopreservation Laboratories
Authors: Fernandes, Ana
Figueiredo, Margarida
Neves, José
Vicente, Henrique
Keywords: Artificial Neural Networks
Cryopreservation Laboratories
Data Protection
General Data Protection Regulation
Privacy and Security
Issue Date: 2021
Publisher: ACM - Association for Computing Machinery
Citation: Fernandes, A., Figueiredo, M., Neves, J. & Vicente, H., An Assessment of Data Guidelines in Cryopreservation Laboratories. In Proceedings of the 2021 International Symposium on Electrical, Electronics and Information Engineering (ISEEIE 2021), pp. 594–598, Association for Computing Machinery, New York, United States of America, 2021.
Abstract: On May 25, 2018, the General Data Protection Regulation (GDPR) entered into force in the European Union, which is of the utmost importance for monitoring its accomplishment by all organizations, especially those working in the health sector. However, it turns into a very difficult task, i.e., in order to meet this challenge, a practicable problem-solving methodology had to be developed and tested, that lead to a soft approach to computing using Artificial Neural Networks. On the other hand, the method chosen for data collection was the inquiry by questionnaire, in which 156 employees participated. The proposed system has an accuracy of about 90%, which can diagnose the fragility of the laboratory and encourage future improvements to ensure a high level of data protection.
URI: https://dl.acm.org/doi/10.1145/3459104.3459200
http://hdl.handle.net/10174/30257
ISBN: 978-1-4503-8983-9
Type: article
Appears in Collections:QUI - Artigos em Livros de Actas/Proceedings

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